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The ideal candidate will:Have a strong understanding of cloud architectures. Be proficient in using AI tools for software development. Demonstrate a commitment to maintaining high standards of code quality. Possess excellent problem-solving skills and a collaborative mindset.
About the job
At Lightspeed Systems, we are on the lookout for innovative engineers who approach software development with a fresh perspective. Our Product Development team is expanding, and we are eager to welcome a Software Engineer who actively integrates modern AI tools and methodologies into their development process. This role is not about 'prompt engineering'; it is a hands-on engineering position for someone who comprehends the workings of cloud systems and leverages AI to enhance productivity without sacrificing quality.
NOTE: This is a hybrid position based in South Austin (near Dripping Springs). Please note that we are unable to provide sponsorship for this role.
About Lightspeed Systems
Lightspeed Systems is a forward-thinking technology company dedicated to enhancing educational environments through innovative software solutions. We pride ourselves on fostering a culture of creativity and collaboration, where every team member's contributions are valued.
At Lightspeed Systems, we are on the lookout for innovative engineers who approach software development with a fresh perspective. Our Product Development team is expanding, and we are eager to welcome a Software Engineer who actively integrates modern AI tools and methodologies into their development process. This role is not about 'prompt engineering'; it is a hands-on engineering position for someone who comprehends the workings of cloud systems and leverages AI to enhance productivity without sacrificing quality.NOTE: This is a hybrid position based in South Austin (near Dripping Springs). Please note that we are unable to provide sponsorship for this role.
Join ICON's innovative Government Technology team as a Senior AI Software Engineer, where your expertise will help shape the future of construction technology. We seek a skilled engineer who has transitioned from traditional software development into the cutting-edge realm of agentic AI. In this role, you will design, develop, and implement AI-driven tools and autonomous agents that enhance our software platform. Reporting directly to the Senior Director of Defense Technology Programs, this is a full-time, on-site position based in our Austin, TX campus.Key Responsibilities:Design and construct agentic AI systems that streamline complex workflows on ICON's platform.Develop features powered by large language models (LLMs) using advanced models and APIs (e.g., Anthropic, OpenAI).Architect and implement multi-agent systems, tool-use frameworks, and Model Context Protocol (MCP) integrations.Create robust Retrieval-Augmented Generation (RAG) systems involving document ingestion and vector retrieval strategies.Collaborate with cross-functional teams to identify automation opportunities and translate them into successful products.Oversee the entire development lifecycle of AI features, including prototyping, evaluation, and deployment.Act as a technical resource and mentor for best practices in agentic AI across the engineering team.Stay abreast of advancements in the agentic AI field and integrate new techniques into production.
Role Overview Tenstorrent is hiring a Software Engineer focused on AI Compiler development in Austin, Texas. This position centers on designing and building AI compilers that improve performance and efficiency for advanced computing tasks. What You Will Do Design and implement software for AI compilers Work on solutions that enhance performance and resource utilization Collaborate with engineers to solve complex technical challenges in AI systems Who We’re Looking For Creative problem solvers with a drive to advance technology Engineers who enjoy working on high-impact projects in AI and compilers
Full-time|On-site|Austin, TX; New York, NY; Toronto, CAN
About Future Secure AI Future Secure AI develops artificial intelligence solutions for real-world business challenges. The company’s technology supports teams across industries, emphasizing bold thinking, rigor, and curiosity. BRAVER values shape both the work and team culture, encouraging open communication and making space for every voice. Leadership maintains an open-door policy and supports individual growth as the company advances AI together. Role Overview: Senior AI Engineer – Software Development Senior AI Engineers (Software) at Future Secure AI lead customer-facing projects and collaborate with both client and partner technical teams. The role also works closely with internal groups to refine and improve technology solutions. Responsibilities span hands-on coding and aligning technical work with broader business and product strategies. Strong organizational skills and a drive to advance AI technology are essential. Locations Austin, TX New York, NY Toronto, CAN
About GoodLeap:GoodLeap is a pioneering technology firm dedicated to providing top-tier financing and software solutions for sustainable living. We specialize in products that range from solar panels and batteries to energy-efficient HVAC systems, heat pumps, roofing, and windows. With over 1 million homeowners benefiting from our innovative, seamless technology, we make green solutions more affordable and user-friendly. Additionally, thousands of professionals in home efficiency and solar sectors trust GoodLeap’s proprietary, AI-driven applications and developer tools for enhanced customer communication, advanced business intelligence, and optimized payment and operational processes. Since our inception in 2018, our platform has facilitated over $30 billion in financing for sustainable solutions. We also take pride in our award-winning nonprofit, GivePower, which is actively transforming lives by building and deploying essential water and clean electricity systems for over 1.6 million people across Africa, Asia, and South America.Position OverviewAs a Senior Software Engineer for our AI platform, you will play a crucial role in developing features and enhancements that leverage scalable and robust AI-first engineering practices. You will design tools and infrastructure that empower GoodLeap teams to efficiently create and enhance AI agents, aiding homeowners, contractors, and operations staff. Collaborating with a dynamic team of AI engineers, product managers, and data scientists, you will assess and refine our agent ecosystem to drive innovation.
Join NODA AI as an Autonomy Engineer (AI)Location: Austin, TX (Hybrid with up to 20% travel)Clearance Requirement: U.S. Citizen with the ability to obtain a security clearance.About NODA AINODA AI is a pioneering, veteran-owned technology firm dedicated to revolutionizing the collaboration of unmanned systems in complex, mission-critical scenarios. Our innovative solutions are at the forefront of autonomous orchestration across diverse domains, including air, sea, land, and space, serving essential functions in the defense, intelligence, and commercial sectors.Our autonomy engineers are vital in bridging the gap between high-level AI-driven mission objectives and effective real-world execution, enabling UAVs, USVs, and UUVs to operate seamlessly in challenging environments. By joining our team, you will contribute to transformative technology that redefines the limits of autonomy in a collaborative, fast-paced atmosphere.The RoleAs an Autonomy Engineer, you will be instrumental in designing and implementing the autonomy stack that drives adaptive multi-vehicle orchestration. Your expertise will focus on mission planning, path generation, behavior execution, and task allocation within diverse fleets.You will work at the convergence of AI reasoning frameworks, ROS2-based autonomy stacks, and distributed multi-agent systems to ensure mission intent is executed reliably and adapted to real-world conditions. Success in this role demands a robust technical foundation in robotics, practical systems thinking, and a fervor for delivering dependable autonomy solutions.Key ResponsibilitiesDesign and implement autonomy modules, including path planning, task allocation, behavior trees, and reactive execution models.Develop and maintain the autonomy framework that interconnects with orchestration (AI-driven mission planning) and world modeling.Ensure AI-generated plans are executable, explainable, and safe across multi-domain robotic platforms.Implement and validate navigation, control, and autonomy behaviors for UAVs, USVs, and UUVs using ROS2 and simulation environments.Profile and optimize autonomy performance for edge compute hardware (e.g., Jetson, Raspberry Pi-class devices).
Join CaptivateIQ as a Staff Software Engineer specializing in AI Platform development. In this pivotal role, you will design, implement, and maintain scalable AI solutions that empower businesses to optimize their compensation processes. Collaborate with cross-functional teams to drive innovation and enhance our platform capabilities.
Join CaptivateIQ as a Senior Software Engineer on our AI Platform team, where you will play a pivotal role in developing innovative solutions that leverage artificial intelligence to enhance our products. You will collaborate with cross-functional teams to design, implement, and maintain scalable software systems that drive business intelligence and operational efficiency.
Join Teza Technologies as a DevOps Engineer, where you will play a pivotal role in enhancing our software development and operational processes. Your expertise will facilitate seamless integration and deployment, ensuring that our systems run efficiently and effectively.
At Bumble, our mission is to foster a world where every relationship thrives in a healthy and equitable manner. The AI & Matching team plays a pivotal role in realizing this vision, driving the intelligence that enhances experiences for our users, enabling them to forge meaningful connections with safety and confidence. As a Principal Software Engineer, AI & Matching, you will spearhead the design and development of cutting-edge systems that empower Bumble to be smarter, more adaptive, and more supportive for our community. This highly technical leadership position centers on architecting and scaling essential matching, recommendation, retrieval, ranking, and agentic AI systems that directly influence user experiences. You will collaborate with teams across engineering, machine learning, product development, and trust & safety to transform advancements in AI into reliable, low-latency production systems that are closely aligned with user needs. This role is perfect for someone who possesses a robust foundation in software engineering, extensive experience in developing ML-driven products, and a genuine passion for applying AI to address real-world user challenges at scale.
AI/ML Engineer – NODA AILocation: Austin, TX (Hybrid work model, with up to 20% travel required)Clearance Requirement: U.S. Citizenship with eligibility to obtain a security clearanceAbout NODANODA is a veteran-owned, venture-backed technology firm dedicated to revolutionizing the collaboration of unmanned systems in intricate, mission-critical settings. We are at the forefront of developing cutting-edge solutions that facilitate the autonomous management of diverse unmanned systems across air, sea, land, and space, with essential applications in defense, intelligence, and commercial industries.As an AI/ML Engineer, you will be engaged in pioneering work in autonomous intelligence, crafting and deploying AI agents that effectively align mission intent with real-world execution through sophisticated reasoning frameworks and multi-domain orchestration capabilities.Joining NODA means becoming part of a team that values innovation, rapid iteration, and collaboration, working on impactful technology that advances the field of autonomy.The RoleWe are looking for a talented AI/ML Engineer to design and implement intelligent agents that facilitate adaptive mission planning and orchestration across multi-domain unmanned systems. This position will center on LLM orchestration frameworks, agent reasoning systems, and deploying AI models in edge computing environments on autonomous vehicles.You will develop systems that convert high-level mission objectives into actionable autonomous behaviors, adapt plans dynamically as situations evolve, and provide clear reasoning to human operators. Your contributions will integrate seamlessly with our ROS autonomy stack while ensuring dependable AI performance on resource-limited edge hardware.Key ResponsibilitiesDesign and implement LLM orchestration frameworks for mission planning and task decomposition across varied vehicle fleets.Create agent reasoning systems that connect high-level mission goals with executable autonomy commands.Optimize and quantize large language models and agent frameworks for deployment on edge computing hardware (e.g., Jetson, companion computers).Oversee the entire lifecycle of AI agents, including model versioning, prompt engineering, tool integration, and memory management.Develop human-in-the-loop workflows that ensure transparent and explainable AI reasoning for operators.
Full-time|Hybrid|Austin, Texas, United States; Santa Clara, California, United States; Toronto, Ontario, Canada
At Tenstorrent, we are at the forefront of AI innovation, setting new benchmarks for performance, usability, and cost-effectiveness. In a world where AI is transforming the computing landscape, our solutions are designed to seamlessly integrate advancements across software models, compilers, platforms, networking, and semiconductors. Our talented team of engineers has successfully developed a high-performance RISC-V CPU from the ground up, driven by a shared enthusiasm for AI and a commitment to creating the best AI platform available. We believe in the power of collaboration, curiosity, and tackling complex challenges together.Become a part of our team that is reshaping the future of AI computing at Tenstorrent. In this role, you will contribute to TT-Forge, our MLIR-based compiler, empowering developers to execute AI across all configurations of Tenstorrent hardware using an open-source, high-performance, general-purpose compiler. You will be at the cutting edge of the AI hardware revolution, crafting compiler technologies that expand the horizons of what's achievable.This position offers a hybrid work model, allowing you to work from our offices in Santa Clara, CA; Austin, TX; or Toronto, ON.We invite candidates of various experience levels to apply. During the interview process, candidates will be evaluated for the appropriate level, and offers will be tailored accordingly.
CarbonBetter is looking for a Product Engineer specializing in AI and Automation to join the team in Austin, Texas. This position centers on building practical solutions to operational challenges, using advanced tools where they make sense. The focus is always on meeting real needs, not just applying technology for its own sake. This role combines product development, engineering, and operational strategy. Working closely with executive leadership, the Product Engineer will identify key opportunities, rapidly prototype solutions, integrate them into current workflows, and keep improving them over time. The emphasis is on building, deploying, iterating, and taking ownership of solutions, rather than pure research or traditional engineering tasks. What you will do Work with business leaders to spot inefficient workflows and operational pain points. Ask thoughtful questions to get to the root of problems. Decide whether automation, AI, or changes in process are the right approach for each issue. Develop internal tools and automations quickly, often creating prototypes in days, not weeks. Use a range of platforms and languages, such as LLM APIs (like OpenAI), Python, JavaScript, Zapier, Make, and PowerApps. Focus on delivering solutions that are fast and effective, rather than aiming for perfection on the first try. Make sure new tools are accessible and usable for real users and stakeholders. This is a hands-on position where quick iteration and practical impact matter most. The right candidate enjoys working across disciplines and is comfortable taking projects from idea to implementation and beyond.
About GoodLeap:GoodLeap is an innovative technology firm focused on providing premier financing and software solutions for sustainable products, including solar panels, batteries, and energy-efficient systems such as HVAC, heat pumps, roofing, and windows. With a mission to enhance accessibility and affordability in sustainable technology, we have successfully assisted over 1 million homeowners through our seamless technology. Thousands of professionals in the solar and home efficiency sectors utilize GoodLeap’s proprietary AI-driven applications and developer tools to foster transparent customer communication, gain deeper business insights, and streamline operations and payment processes. Since our inception in 2018, our platform has facilitated over $30 billion in financing for sustainable initiatives. Additionally, GoodLeap is proud to support our award-winning nonprofit, GivePower, which is dedicated to creating and deploying life-saving water and clean electricity solutions that have transformed the lives of more than 1.6 million individuals across Africa, Asia, and South America.Position OverviewWe are seeking a highly skilled Staff AI Engineer to join our dynamic team. In this role, you will be instrumental in developing, maintaining, monitoring, and scaling our AI products and components. You will leverage engineering best practices to cultivate a culture of software quality and operational excellence across the organization. Collaborating closely with Product Managers and stakeholders, you will contribute to defining the product roadmap and shaping our overarching technical strategy.
Full-time|Hybrid|Austin, Texas, United States; Santa Clara, California, United States; Toronto, Ontario, Canada
At Tenstorrent, we are at the forefront of advancing AI technology, setting new benchmarks for performance, user-friendliness, and cost-effectiveness. As the landscape of computing evolves through AI, our solutions are designed to integrate innovations across software models, compilers, platforms, networking, and semiconductors. Our talented and diverse team has engineered a high-performance RISC-V CPU from the ground up, driven by a passion for AI and an unwavering commitment to developing the premier AI platform. We cherish collaboration, curiosity, and a relentless drive to tackle complex challenges. We are expanding our team and invite contributors of all experience levels to join us.In the role of TT-Distributed Software Engineer, you will be instrumental in creating and optimizing distributed software systems that enhance the efficiency and performance of AI and HPC clusters. You will engage in distributed programming across multiple nodes, leveraging systems programming, inter-node communication, and Tenstorrent’s scalable architectures to elevate the standards of distributed inference and training infrastructure.This position is a hybrid role based in Santa Clara, CA; Austin, TX; or Toronto, ON.We welcome applicants of varying experience levels for this opportunity. Throughout the interview process, candidates will be evaluated for their suitability, and compensation will correspond to the determined level, which may vary from the one stated here.
webAI develops distributed AI infrastructure for personalized applications, with a focus on keeping computation close to where data originates. By doing so, the company helps protect sensitive information and intellectual property, allowing large AI models to run directly on consumer hardware without exposing critical data. The platform is designed to be secure and end-to-end, giving users control while meeting business operational needs. Core values at webAI include truth, ownership, tenacity, and humility. Role overview The AI Software Engineer role centers on high-performance computing and machine learning inference. The primary focus is to translate theoretical AI models into practical, efficient, and reliable software. This includes managing production environments, optimizing for low latency, maintaining system reliability, and ensuring data integrity throughout the process. What you will do Turn AI model concepts into operational, high-quality software Manage and monitor production environments for performance and reliability Optimize systems for low-latency inference and robust data handling Maintain data integrity and system stability in real-world deployments Requirements Experience in low-level systems programming Background in machine learning and practical inference Understanding of hardware-aware optimization Comfort working onsite at the downtown Austin, TX headquarters Alignment with webAI’s values: truth, ownership, tenacity, and humility
Full-time|Remote|Remote — Austin, Texas, United States
Join BlueFlag as a Principal Software Engineer, where you will spearhead the design and implementation of innovative cloud-native applications, services, and robust data platform capabilities. This fully remote position calls for a skilled technical leader who excels in building comprehensive production software, while also managing cloud infrastructure, Kubernetes orchestration, and data engineering practices essential for secure, enterprise-grade platforms.This role transcends traditional platform responsibilities; we are looking for a visionary leader capable of guiding software-engineering-focused initiatives, which include APIs, backend services, and full-stack web applications. You will also oversee teams tasked with deploying and maintaining the foundational cloud and data tools essential for these applications, such as Databricks, Synapse, Starburst, Immuta, and Collibra. Additionally, you will play a pivotal role in shaping our approach to AI-enabled applications, focusing on agent-based workflows built on governed data and a reliable infrastructure.Key ResponsibilitiesSoftware Engineering LeadershipDesign, develop, and sustain production-grade software (services, APIs, and web applications) adhering to rigorous engineering standards: code quality, testing, observability, and operational readiness.Facilitate design reviews, set engineering standards, and mentor engineers across various projects—particularly those with a software-heavy focus.Create integration layers and service patterns that connect applications with data platforms, identity systems, and enterprise tools.Champion modern software development lifecycle (SDLC) practices, including trunk-based development, a strong code review culture, automated testing, and predictable release workflows.Cloud, Kubernetes, and Platform EnablementDesign and manage Kubernetes-based application platforms, establishing deployment standards, networking protocols, upgrade strategies, reliability measures, and day-2 operations.Implement and refine CI/CD pipelines and release automation for both applications and infrastructure, including GitOps methodologies where applicable.Build and sustain infrastructure-as-code (e.g., Terraform) and automated environment provisioning on Azure or AWS.Lead engineering teams in deploying and maintaining enterprise platform tools like Starburst, Immuta, Collibra, Databricks, Synapse, and other related services.Formulate and execute plans for cloud migrations and deployments, along with modernization strategies for application and data workloads.Data Engineering and AI EnablementDevelop and maintain data pipelines and supporting services that facilitate analytics, machine learning, and AI-driven applications.Collaborate with stakeholders to devise practical strategies for AI agents, infrastructure, and application enablement (e.g., orchestration patterns, knowledge integration, evaluation and monitoring) in secure environments.Why Choose BlueFlag
About UsCoalition is pioneering the future of Active Insurance, aimed at preemptively preventing digital risks. Established in 2017, Coalition uniquely merges extensive insurance coverage with innovative cybersecurity solutions, empowering businesses to effectively manage and mitigate potential cyber threats.At Coalition, opportunities for impactful contributions through bold innovation are abundant and realized daily.About the RoleWe are seeking a Senior Software Engineer to spearhead the development of our internal AI platform and orchestration components. This role is crucial in expediting the deployment of intelligent Agents and Retrieval-Augmented Generation (RAG) pipelines throughout the organization. You will be responsible for the core infrastructure and SDKs that integrate advanced LLM capabilities with production-ready applications, transforming intricate AI research and datasets into smooth, scalable tools for our engineering teams. Your contributions will directly facilitate the automation of complex workflows and the delivery of intelligent, AI-powered solutions to our users.You will play a pivotal role as an architect and engineer of our internal AI platform, crafting components that fuel various AI Agents and RAG pipelines. Your focus will be on ensuring complex logic branches and AI workflows are clearly understood, thoroughly tested, and maintain high engineering standards. You will develop APIs and services that are user-friendly, enabling our internal teams to effortlessly incorporate AI capabilities into their processes.
Location: Hybrid. Staff may need to attend quarterly meetings at the nearest office, typically 1-4 times per year. Main office: Austin, Texas, United States. About Aravo Solutions Aravo Solutions, Inc. provides third-party risk management (TPRM), ESG, and vendor lifecycle management software to Global 2000 enterprises. The platform uses intelligent automation to help organizations manage risk across complex, global networks. With millions of users in over 195 countries, Aravo integrates AI directly into workflows to help companies understand and respond to risk, supporting business resilience and reputation. Role Overview The Staff Software Engineer - API and AI Integrations will serve as a technical anchor for the Integration & Platform team. This role focuses on backend architecture and development, setting and upholding engineering standards, and leading modernization efforts for the Java/Spring Boot ecosystem. The goal: move toward cloud-native, AI-enabled workflows that support Aravo’s Intelligence-First™ approach to risk management. What You Will Do Architect and advance core backend services for the Integration & Platform group. Establish and maintain engineering standards across the team. Drive modernization of Java/Spring Boot systems, with a focus on cloud-native and AI-integrated solutions. Collaborate with industry experts and cross-functional teams to shape technical direction. What We’re Looking For Deep experience with Java and Spring Boot in distributed systems. Strong background in cloud infrastructure and API/integration design. Demonstrated leadership in technical teams; able to influence engineering direction. Clear, effective communication and strong problem-solving skills. Comfort working in a collaborative, evolving environment. Why Join Aravo? Work on AI-driven solutions in the TPRM space. Collaborate with a team that treats AI as a partner, not a replacement. Contribute to technology that directly impacts global risk management and business resilience.
Full-time|Hybrid|Austin, Texas, United States; Santa Clara, California, United States; Toronto, Ontario, Canada
At Tenstorrent, we are at the forefront of AI technology, setting new standards for performance, usability, and cost-effectiveness. As AI transforms the computing landscape, our solutions evolve to integrate innovations in software models, compilers, platforms, networking, and semiconductors. Our talented team has successfully developed a high-performance RISC-V CPU from the ground up, driven by a passion for AI and a commitment to creating the most advanced AI platform. We embrace collaboration, curiosity, and a relentless pursuit of solving complex challenges. We are expanding our team and invite contributors of all experience levels to join us.As a Software Engineer on the Metal Runtime team, you will engage with the foundational software that drives our AI accelerators. Your responsibilities will include designing rapid and efficient runtime systems that operate closely with the hardware, as well as defining the host and device APIs that enable these functionalities across the software stack. We view APIs as integral to system design; they encapsulate hardware semantics, performance trade-offs, and concurrency models, outlasting any single implementation.If you are passionate about optimizing performance, working near the hardware level, and crafting abstractions that simplify complex systems while maintaining control, this role is tailored for you.This is a hybrid position, with opportunities in Santa Clara, CA; Austin, TX; and Toronto, ON.We welcome candidates with diverse backgrounds and varying levels of experience. During the interview process, candidates will be evaluated for the appropriate level, and compensation will reflect that level, which may differ from the one specified in this posting.
At Lightspeed Systems, we are on the lookout for innovative engineers who approach software development with a fresh perspective. Our Product Development team is expanding, and we are eager to welcome a Software Engineer who actively integrates modern AI tools and methodologies into their development process. This role is not about 'prompt engineering'; it is a hands-on engineering position for someone who comprehends the workings of cloud systems and leverages AI to enhance productivity without sacrificing quality.NOTE: This is a hybrid position based in South Austin (near Dripping Springs). Please note that we are unable to provide sponsorship for this role.
Join ICON's innovative Government Technology team as a Senior AI Software Engineer, where your expertise will help shape the future of construction technology. We seek a skilled engineer who has transitioned from traditional software development into the cutting-edge realm of agentic AI. In this role, you will design, develop, and implement AI-driven tools and autonomous agents that enhance our software platform. Reporting directly to the Senior Director of Defense Technology Programs, this is a full-time, on-site position based in our Austin, TX campus.Key Responsibilities:Design and construct agentic AI systems that streamline complex workflows on ICON's platform.Develop features powered by large language models (LLMs) using advanced models and APIs (e.g., Anthropic, OpenAI).Architect and implement multi-agent systems, tool-use frameworks, and Model Context Protocol (MCP) integrations.Create robust Retrieval-Augmented Generation (RAG) systems involving document ingestion and vector retrieval strategies.Collaborate with cross-functional teams to identify automation opportunities and translate them into successful products.Oversee the entire development lifecycle of AI features, including prototyping, evaluation, and deployment.Act as a technical resource and mentor for best practices in agentic AI across the engineering team.Stay abreast of advancements in the agentic AI field and integrate new techniques into production.
Role Overview Tenstorrent is hiring a Software Engineer focused on AI Compiler development in Austin, Texas. This position centers on designing and building AI compilers that improve performance and efficiency for advanced computing tasks. What You Will Do Design and implement software for AI compilers Work on solutions that enhance performance and resource utilization Collaborate with engineers to solve complex technical challenges in AI systems Who We’re Looking For Creative problem solvers with a drive to advance technology Engineers who enjoy working on high-impact projects in AI and compilers
Full-time|On-site|Austin, TX; New York, NY; Toronto, CAN
About Future Secure AI Future Secure AI develops artificial intelligence solutions for real-world business challenges. The company’s technology supports teams across industries, emphasizing bold thinking, rigor, and curiosity. BRAVER values shape both the work and team culture, encouraging open communication and making space for every voice. Leadership maintains an open-door policy and supports individual growth as the company advances AI together. Role Overview: Senior AI Engineer – Software Development Senior AI Engineers (Software) at Future Secure AI lead customer-facing projects and collaborate with both client and partner technical teams. The role also works closely with internal groups to refine and improve technology solutions. Responsibilities span hands-on coding and aligning technical work with broader business and product strategies. Strong organizational skills and a drive to advance AI technology are essential. Locations Austin, TX New York, NY Toronto, CAN
About GoodLeap:GoodLeap is a pioneering technology firm dedicated to providing top-tier financing and software solutions for sustainable living. We specialize in products that range from solar panels and batteries to energy-efficient HVAC systems, heat pumps, roofing, and windows. With over 1 million homeowners benefiting from our innovative, seamless technology, we make green solutions more affordable and user-friendly. Additionally, thousands of professionals in home efficiency and solar sectors trust GoodLeap’s proprietary, AI-driven applications and developer tools for enhanced customer communication, advanced business intelligence, and optimized payment and operational processes. Since our inception in 2018, our platform has facilitated over $30 billion in financing for sustainable solutions. We also take pride in our award-winning nonprofit, GivePower, which is actively transforming lives by building and deploying essential water and clean electricity systems for over 1.6 million people across Africa, Asia, and South America.Position OverviewAs a Senior Software Engineer for our AI platform, you will play a crucial role in developing features and enhancements that leverage scalable and robust AI-first engineering practices. You will design tools and infrastructure that empower GoodLeap teams to efficiently create and enhance AI agents, aiding homeowners, contractors, and operations staff. Collaborating with a dynamic team of AI engineers, product managers, and data scientists, you will assess and refine our agent ecosystem to drive innovation.
Join NODA AI as an Autonomy Engineer (AI)Location: Austin, TX (Hybrid with up to 20% travel)Clearance Requirement: U.S. Citizen with the ability to obtain a security clearance.About NODA AINODA AI is a pioneering, veteran-owned technology firm dedicated to revolutionizing the collaboration of unmanned systems in complex, mission-critical scenarios. Our innovative solutions are at the forefront of autonomous orchestration across diverse domains, including air, sea, land, and space, serving essential functions in the defense, intelligence, and commercial sectors.Our autonomy engineers are vital in bridging the gap between high-level AI-driven mission objectives and effective real-world execution, enabling UAVs, USVs, and UUVs to operate seamlessly in challenging environments. By joining our team, you will contribute to transformative technology that redefines the limits of autonomy in a collaborative, fast-paced atmosphere.The RoleAs an Autonomy Engineer, you will be instrumental in designing and implementing the autonomy stack that drives adaptive multi-vehicle orchestration. Your expertise will focus on mission planning, path generation, behavior execution, and task allocation within diverse fleets.You will work at the convergence of AI reasoning frameworks, ROS2-based autonomy stacks, and distributed multi-agent systems to ensure mission intent is executed reliably and adapted to real-world conditions. Success in this role demands a robust technical foundation in robotics, practical systems thinking, and a fervor for delivering dependable autonomy solutions.Key ResponsibilitiesDesign and implement autonomy modules, including path planning, task allocation, behavior trees, and reactive execution models.Develop and maintain the autonomy framework that interconnects with orchestration (AI-driven mission planning) and world modeling.Ensure AI-generated plans are executable, explainable, and safe across multi-domain robotic platforms.Implement and validate navigation, control, and autonomy behaviors for UAVs, USVs, and UUVs using ROS2 and simulation environments.Profile and optimize autonomy performance for edge compute hardware (e.g., Jetson, Raspberry Pi-class devices).
Join CaptivateIQ as a Staff Software Engineer specializing in AI Platform development. In this pivotal role, you will design, implement, and maintain scalable AI solutions that empower businesses to optimize their compensation processes. Collaborate with cross-functional teams to drive innovation and enhance our platform capabilities.
Join CaptivateIQ as a Senior Software Engineer on our AI Platform team, where you will play a pivotal role in developing innovative solutions that leverage artificial intelligence to enhance our products. You will collaborate with cross-functional teams to design, implement, and maintain scalable software systems that drive business intelligence and operational efficiency.
Join Teza Technologies as a DevOps Engineer, where you will play a pivotal role in enhancing our software development and operational processes. Your expertise will facilitate seamless integration and deployment, ensuring that our systems run efficiently and effectively.
At Bumble, our mission is to foster a world where every relationship thrives in a healthy and equitable manner. The AI & Matching team plays a pivotal role in realizing this vision, driving the intelligence that enhances experiences for our users, enabling them to forge meaningful connections with safety and confidence. As a Principal Software Engineer, AI & Matching, you will spearhead the design and development of cutting-edge systems that empower Bumble to be smarter, more adaptive, and more supportive for our community. This highly technical leadership position centers on architecting and scaling essential matching, recommendation, retrieval, ranking, and agentic AI systems that directly influence user experiences. You will collaborate with teams across engineering, machine learning, product development, and trust & safety to transform advancements in AI into reliable, low-latency production systems that are closely aligned with user needs. This role is perfect for someone who possesses a robust foundation in software engineering, extensive experience in developing ML-driven products, and a genuine passion for applying AI to address real-world user challenges at scale.
AI/ML Engineer – NODA AILocation: Austin, TX (Hybrid work model, with up to 20% travel required)Clearance Requirement: U.S. Citizenship with eligibility to obtain a security clearanceAbout NODANODA is a veteran-owned, venture-backed technology firm dedicated to revolutionizing the collaboration of unmanned systems in intricate, mission-critical settings. We are at the forefront of developing cutting-edge solutions that facilitate the autonomous management of diverse unmanned systems across air, sea, land, and space, with essential applications in defense, intelligence, and commercial industries.As an AI/ML Engineer, you will be engaged in pioneering work in autonomous intelligence, crafting and deploying AI agents that effectively align mission intent with real-world execution through sophisticated reasoning frameworks and multi-domain orchestration capabilities.Joining NODA means becoming part of a team that values innovation, rapid iteration, and collaboration, working on impactful technology that advances the field of autonomy.The RoleWe are looking for a talented AI/ML Engineer to design and implement intelligent agents that facilitate adaptive mission planning and orchestration across multi-domain unmanned systems. This position will center on LLM orchestration frameworks, agent reasoning systems, and deploying AI models in edge computing environments on autonomous vehicles.You will develop systems that convert high-level mission objectives into actionable autonomous behaviors, adapt plans dynamically as situations evolve, and provide clear reasoning to human operators. Your contributions will integrate seamlessly with our ROS autonomy stack while ensuring dependable AI performance on resource-limited edge hardware.Key ResponsibilitiesDesign and implement LLM orchestration frameworks for mission planning and task decomposition across varied vehicle fleets.Create agent reasoning systems that connect high-level mission goals with executable autonomy commands.Optimize and quantize large language models and agent frameworks for deployment on edge computing hardware (e.g., Jetson, companion computers).Oversee the entire lifecycle of AI agents, including model versioning, prompt engineering, tool integration, and memory management.Develop human-in-the-loop workflows that ensure transparent and explainable AI reasoning for operators.
Full-time|Hybrid|Austin, Texas, United States; Santa Clara, California, United States; Toronto, Ontario, Canada
At Tenstorrent, we are at the forefront of AI innovation, setting new benchmarks for performance, usability, and cost-effectiveness. In a world where AI is transforming the computing landscape, our solutions are designed to seamlessly integrate advancements across software models, compilers, platforms, networking, and semiconductors. Our talented team of engineers has successfully developed a high-performance RISC-V CPU from the ground up, driven by a shared enthusiasm for AI and a commitment to creating the best AI platform available. We believe in the power of collaboration, curiosity, and tackling complex challenges together.Become a part of our team that is reshaping the future of AI computing at Tenstorrent. In this role, you will contribute to TT-Forge, our MLIR-based compiler, empowering developers to execute AI across all configurations of Tenstorrent hardware using an open-source, high-performance, general-purpose compiler. You will be at the cutting edge of the AI hardware revolution, crafting compiler technologies that expand the horizons of what's achievable.This position offers a hybrid work model, allowing you to work from our offices in Santa Clara, CA; Austin, TX; or Toronto, ON.We invite candidates of various experience levels to apply. During the interview process, candidates will be evaluated for the appropriate level, and offers will be tailored accordingly.
CarbonBetter is looking for a Product Engineer specializing in AI and Automation to join the team in Austin, Texas. This position centers on building practical solutions to operational challenges, using advanced tools where they make sense. The focus is always on meeting real needs, not just applying technology for its own sake. This role combines product development, engineering, and operational strategy. Working closely with executive leadership, the Product Engineer will identify key opportunities, rapidly prototype solutions, integrate them into current workflows, and keep improving them over time. The emphasis is on building, deploying, iterating, and taking ownership of solutions, rather than pure research or traditional engineering tasks. What you will do Work with business leaders to spot inefficient workflows and operational pain points. Ask thoughtful questions to get to the root of problems. Decide whether automation, AI, or changes in process are the right approach for each issue. Develop internal tools and automations quickly, often creating prototypes in days, not weeks. Use a range of platforms and languages, such as LLM APIs (like OpenAI), Python, JavaScript, Zapier, Make, and PowerApps. Focus on delivering solutions that are fast and effective, rather than aiming for perfection on the first try. Make sure new tools are accessible and usable for real users and stakeholders. This is a hands-on position where quick iteration and practical impact matter most. The right candidate enjoys working across disciplines and is comfortable taking projects from idea to implementation and beyond.
About GoodLeap:GoodLeap is an innovative technology firm focused on providing premier financing and software solutions for sustainable products, including solar panels, batteries, and energy-efficient systems such as HVAC, heat pumps, roofing, and windows. With a mission to enhance accessibility and affordability in sustainable technology, we have successfully assisted over 1 million homeowners through our seamless technology. Thousands of professionals in the solar and home efficiency sectors utilize GoodLeap’s proprietary AI-driven applications and developer tools to foster transparent customer communication, gain deeper business insights, and streamline operations and payment processes. Since our inception in 2018, our platform has facilitated over $30 billion in financing for sustainable initiatives. Additionally, GoodLeap is proud to support our award-winning nonprofit, GivePower, which is dedicated to creating and deploying life-saving water and clean electricity solutions that have transformed the lives of more than 1.6 million individuals across Africa, Asia, and South America.Position OverviewWe are seeking a highly skilled Staff AI Engineer to join our dynamic team. In this role, you will be instrumental in developing, maintaining, monitoring, and scaling our AI products and components. You will leverage engineering best practices to cultivate a culture of software quality and operational excellence across the organization. Collaborating closely with Product Managers and stakeholders, you will contribute to defining the product roadmap and shaping our overarching technical strategy.
Full-time|Hybrid|Austin, Texas, United States; Santa Clara, California, United States; Toronto, Ontario, Canada
At Tenstorrent, we are at the forefront of advancing AI technology, setting new benchmarks for performance, user-friendliness, and cost-effectiveness. As the landscape of computing evolves through AI, our solutions are designed to integrate innovations across software models, compilers, platforms, networking, and semiconductors. Our talented and diverse team has engineered a high-performance RISC-V CPU from the ground up, driven by a passion for AI and an unwavering commitment to developing the premier AI platform. We cherish collaboration, curiosity, and a relentless drive to tackle complex challenges. We are expanding our team and invite contributors of all experience levels to join us.In the role of TT-Distributed Software Engineer, you will be instrumental in creating and optimizing distributed software systems that enhance the efficiency and performance of AI and HPC clusters. You will engage in distributed programming across multiple nodes, leveraging systems programming, inter-node communication, and Tenstorrent’s scalable architectures to elevate the standards of distributed inference and training infrastructure.This position is a hybrid role based in Santa Clara, CA; Austin, TX; or Toronto, ON.We welcome applicants of varying experience levels for this opportunity. Throughout the interview process, candidates will be evaluated for their suitability, and compensation will correspond to the determined level, which may vary from the one stated here.
webAI develops distributed AI infrastructure for personalized applications, with a focus on keeping computation close to where data originates. By doing so, the company helps protect sensitive information and intellectual property, allowing large AI models to run directly on consumer hardware without exposing critical data. The platform is designed to be secure and end-to-end, giving users control while meeting business operational needs. Core values at webAI include truth, ownership, tenacity, and humility. Role overview The AI Software Engineer role centers on high-performance computing and machine learning inference. The primary focus is to translate theoretical AI models into practical, efficient, and reliable software. This includes managing production environments, optimizing for low latency, maintaining system reliability, and ensuring data integrity throughout the process. What you will do Turn AI model concepts into operational, high-quality software Manage and monitor production environments for performance and reliability Optimize systems for low-latency inference and robust data handling Maintain data integrity and system stability in real-world deployments Requirements Experience in low-level systems programming Background in machine learning and practical inference Understanding of hardware-aware optimization Comfort working onsite at the downtown Austin, TX headquarters Alignment with webAI’s values: truth, ownership, tenacity, and humility
Full-time|Remote|Remote — Austin, Texas, United States
Join BlueFlag as a Principal Software Engineer, where you will spearhead the design and implementation of innovative cloud-native applications, services, and robust data platform capabilities. This fully remote position calls for a skilled technical leader who excels in building comprehensive production software, while also managing cloud infrastructure, Kubernetes orchestration, and data engineering practices essential for secure, enterprise-grade platforms.This role transcends traditional platform responsibilities; we are looking for a visionary leader capable of guiding software-engineering-focused initiatives, which include APIs, backend services, and full-stack web applications. You will also oversee teams tasked with deploying and maintaining the foundational cloud and data tools essential for these applications, such as Databricks, Synapse, Starburst, Immuta, and Collibra. Additionally, you will play a pivotal role in shaping our approach to AI-enabled applications, focusing on agent-based workflows built on governed data and a reliable infrastructure.Key ResponsibilitiesSoftware Engineering LeadershipDesign, develop, and sustain production-grade software (services, APIs, and web applications) adhering to rigorous engineering standards: code quality, testing, observability, and operational readiness.Facilitate design reviews, set engineering standards, and mentor engineers across various projects—particularly those with a software-heavy focus.Create integration layers and service patterns that connect applications with data platforms, identity systems, and enterprise tools.Champion modern software development lifecycle (SDLC) practices, including trunk-based development, a strong code review culture, automated testing, and predictable release workflows.Cloud, Kubernetes, and Platform EnablementDesign and manage Kubernetes-based application platforms, establishing deployment standards, networking protocols, upgrade strategies, reliability measures, and day-2 operations.Implement and refine CI/CD pipelines and release automation for both applications and infrastructure, including GitOps methodologies where applicable.Build and sustain infrastructure-as-code (e.g., Terraform) and automated environment provisioning on Azure or AWS.Lead engineering teams in deploying and maintaining enterprise platform tools like Starburst, Immuta, Collibra, Databricks, Synapse, and other related services.Formulate and execute plans for cloud migrations and deployments, along with modernization strategies for application and data workloads.Data Engineering and AI EnablementDevelop and maintain data pipelines and supporting services that facilitate analytics, machine learning, and AI-driven applications.Collaborate with stakeholders to devise practical strategies for AI agents, infrastructure, and application enablement (e.g., orchestration patterns, knowledge integration, evaluation and monitoring) in secure environments.Why Choose BlueFlag
About UsCoalition is pioneering the future of Active Insurance, aimed at preemptively preventing digital risks. Established in 2017, Coalition uniquely merges extensive insurance coverage with innovative cybersecurity solutions, empowering businesses to effectively manage and mitigate potential cyber threats.At Coalition, opportunities for impactful contributions through bold innovation are abundant and realized daily.About the RoleWe are seeking a Senior Software Engineer to spearhead the development of our internal AI platform and orchestration components. This role is crucial in expediting the deployment of intelligent Agents and Retrieval-Augmented Generation (RAG) pipelines throughout the organization. You will be responsible for the core infrastructure and SDKs that integrate advanced LLM capabilities with production-ready applications, transforming intricate AI research and datasets into smooth, scalable tools for our engineering teams. Your contributions will directly facilitate the automation of complex workflows and the delivery of intelligent, AI-powered solutions to our users.You will play a pivotal role as an architect and engineer of our internal AI platform, crafting components that fuel various AI Agents and RAG pipelines. Your focus will be on ensuring complex logic branches and AI workflows are clearly understood, thoroughly tested, and maintain high engineering standards. You will develop APIs and services that are user-friendly, enabling our internal teams to effortlessly incorporate AI capabilities into their processes.
Location: Hybrid. Staff may need to attend quarterly meetings at the nearest office, typically 1-4 times per year. Main office: Austin, Texas, United States. About Aravo Solutions Aravo Solutions, Inc. provides third-party risk management (TPRM), ESG, and vendor lifecycle management software to Global 2000 enterprises. The platform uses intelligent automation to help organizations manage risk across complex, global networks. With millions of users in over 195 countries, Aravo integrates AI directly into workflows to help companies understand and respond to risk, supporting business resilience and reputation. Role Overview The Staff Software Engineer - API and AI Integrations will serve as a technical anchor for the Integration & Platform team. This role focuses on backend architecture and development, setting and upholding engineering standards, and leading modernization efforts for the Java/Spring Boot ecosystem. The goal: move toward cloud-native, AI-enabled workflows that support Aravo’s Intelligence-First™ approach to risk management. What You Will Do Architect and advance core backend services for the Integration & Platform group. Establish and maintain engineering standards across the team. Drive modernization of Java/Spring Boot systems, with a focus on cloud-native and AI-integrated solutions. Collaborate with industry experts and cross-functional teams to shape technical direction. What We’re Looking For Deep experience with Java and Spring Boot in distributed systems. Strong background in cloud infrastructure and API/integration design. Demonstrated leadership in technical teams; able to influence engineering direction. Clear, effective communication and strong problem-solving skills. Comfort working in a collaborative, evolving environment. Why Join Aravo? Work on AI-driven solutions in the TPRM space. Collaborate with a team that treats AI as a partner, not a replacement. Contribute to technology that directly impacts global risk management and business resilience.
Full-time|Hybrid|Austin, Texas, United States; Santa Clara, California, United States; Toronto, Ontario, Canada
At Tenstorrent, we are at the forefront of AI technology, setting new standards for performance, usability, and cost-effectiveness. As AI transforms the computing landscape, our solutions evolve to integrate innovations in software models, compilers, platforms, networking, and semiconductors. Our talented team has successfully developed a high-performance RISC-V CPU from the ground up, driven by a passion for AI and a commitment to creating the most advanced AI platform. We embrace collaboration, curiosity, and a relentless pursuit of solving complex challenges. We are expanding our team and invite contributors of all experience levels to join us.As a Software Engineer on the Metal Runtime team, you will engage with the foundational software that drives our AI accelerators. Your responsibilities will include designing rapid and efficient runtime systems that operate closely with the hardware, as well as defining the host and device APIs that enable these functionalities across the software stack. We view APIs as integral to system design; they encapsulate hardware semantics, performance trade-offs, and concurrency models, outlasting any single implementation.If you are passionate about optimizing performance, working near the hardware level, and crafting abstractions that simplify complex systems while maintaining control, this role is tailored for you.This is a hybrid position, with opportunities in Santa Clara, CA; Austin, TX; and Toronto, ON.We welcome candidates with diverse backgrounds and varying levels of experience. During the interview process, candidates will be evaluated for the appropriate level, and compensation will reflect that level, which may differ from the one specified in this posting.
Mar 24, 2026
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