AI Automation Engineer

At BetterUp, we believe in reimagining the employer-employee relationship to foster human transformation.From our unique interview process to the enriching experience post-offer, we strive to create a work environment that is more than just a paycheck. When you come on board, you will receive your very own BetterUp Coach, a personalized development plan, and a manager who is trained to support you, along with a team that is equally dedicated to personal growth.This isn't just a job; it's a chance to engage in meaningful work that makes a difference. For those who have passion and dedication, this role could be a transformative step in your career.Embrace the opportunity to experience the most rewarding years of your career with us, engaging in impactful work within a vibrant and innovative culture.If you find this appealing—and feel that the responsibilities outlined below resonate with your skills—we encourage you to reach out.We operate as a hybrid company, emphasizing in-person collaboration as needed. Employees are expected to be available to work from one of our office hubs at least two days a week, or eight days per month. Our U.S. hub locations include Austin, TX; Chicago, IL; New York City, NY; San Francisco, CA; and the Washington, DC metro area. For roles based in Europe, our hub locations are London, UK and Amsterdam, NL. Please ensure you can realistically commit to this structure before applying.We are actively seeking an AI Automation and Integration Engineer to join our dynamic IT & AI Workspace Technology team. This role is ideal for a hands-on creator who excels at developing intelligent, interconnected systems—transforming manual processes into AI-driven automations utilizing advanced tools such as Model Context Protocol (MCP), Slack workflows, and secure system integrations.You will design and implement scalable automations across our SaaS ecosystem, collaborating closely with our AI product and infrastructure teams, while applying technical rigor and curiosity to every challenge.This critical position is part of a small, agile team where your contributions will significantly enhance our operations, scalability, and automation strategies.

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 the Role:Join webAI as a Senior QA Automation Engineer, where you will spearhead the development, implementation, and enhancement of our automated testing framework. You will play a vital role in elevating product quality, establishing testing protocols, and mentoring team members on automation best practices. Collaborating with engineering, DevOps, and product teams, your efforts will ensure robust confidence in every release of our advanced AI platform.This role is highly technical and hands-on, ideal for a proactive individual who thrives in dynamic environments, embraces quality initiatives, and enjoys tackling complex engineering challenges with a test-first approach.

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.

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).

About UsAt Cloudflare, we are dedicated to creating a better Internet. Currently, our company operates one of the largest networks globally, supporting millions of websites and Internet services for a diverse clientele, from individual bloggers to SMBs and Fortune 500 enterprises. Cloudflare enhances and secures any online application, eliminating the need for additional hardware, software installations, or code alterations. All Internet properties utilizing Cloudflare enjoy traffic routed through our intelligent global network, which improves with each request, resulting in significant performance boosts and reduced spam and attacks. Cloudflare has been recognized in Entrepreneur Magazine’s Top Company Cultures and ranked among the World’s Most Innovative Companies by Fast Company.We seek proactive individuals who recognize the gaps in the Internet that others have simply accepted. We value candidates who can identify a 'normalized' issue and possess the AI-driven curiosity to devise solutions using cutting-edge tools. Our culture emphasizes iteration and collaboration, leveraging AI to accelerate shipping today for enhancements tomorrow, while sharing every improvement, no matter how minor, to uplift the entire team. If you prioritize curiosity over bureaucracy and view AI as a partner in tackling complex challenges to advance the Internet, you will thrive here.Location: Austin, TXRole SummaryYour mission will be to construct the technical framework that powers Cloudflare's Go-To-Market (GTM) strategy. You will create AI-driven agents and web applications to automate and scale critical marketing and sales operations. This position is ideal for a self-motivated engineer eager to apply a modern full-stack approach to address real-world business challenges, connecting strategic GTM objectives with technical execution.What You Will Gain from This Internship:Generative AI & Agents: Become proficient with the Cloudflare Agents SDK and LLM orchestration.Full Stack Development: Develop scalable, stateful GTM applications at the Edge.GTM Strategy: Understand how technology facilitates global sales and marketing success.Entrepreneurship: Oversee the entire lifecycle of a technical project from concept to internal launch.

Join our dynamic team at eproinc as a Puppet Automation Engineer. In this role, you will leverage your expertise in automation to enhance our infrastructure and improve operational efficiency. You will work closely with cross-functional teams to design, implement, and maintain scalable automation solutions using Puppet.

Join Our Team as a Quality Automation Engineer!Location: Austin, TX (Hybrid)Compensation: Competitive base salary plus comprehensive benefitsAs a Quality Automation Engineer at Togetherwork, you will be instrumental in ensuring the excellence, dependability, and scalability of our Petcare SaaS platforms. This hands-on role emphasizes both automated and manual testing, while also contributing to QA strategy development, mentoring fellow team members, and advancing our overarching quality practices.This position is perfect for a technically proficient individual who is passionate about quality and aspires to progress into a QA leadership role through collaborative and practical contributions.

Role overview Natera, Inc. is hiring a Senior Automation Engineer in Austin, TX. The position centers on designing, developing, and maintaining automated systems that support laboratory operations for genetic testing and diagnostics. Key responsibilities Create and refine automation systems to streamline laboratory workflows and boost efficiency. Collaborate with cross-functional teams to ensure automation solutions meet technical and quality standards for genomic testing. Troubleshoot and optimize automation technologies to support ongoing lab operations. About Natera Natera specializes in genetic testing and diagnostics, providing advanced genomic solutions for patients and healthcare providers.

Renesas Electronics is hiring a Principal Engineer for the Automated Derivatives team in Austin. This position plays a central role in shaping product development, emphasizing both engineering leadership and technical depth. Role overview The Principal Engineer oversees engineering projects within the Automated Derivatives group. The role requires working across teams to deliver reliable, high-quality solutions. Setting and maintaining standards for quality and performance is a key responsibility. The position also guides the design and implementation of advanced derivatives products, applying expertise in automated systems and core engineering principles. What you will do Lead engineering projects within the Automated Derivatives team Collaborate with cross-functional groups to achieve project goals Establish and maintain standards for quality and performance Direct the design and execution of derivatives products using automated systems expertise Requirements Extensive experience with automated systems and derivatives solutions Proven background in leading engineering projects Ability to collaborate effectively with multiple teams Dedication to high standards and continuous improvement This position provides the opportunity to influence product direction and contribute to innovation at Renesas Electronics in a collaborative setting.

Join Aravo Solutions as a Senior Automation Engineer (QA/Integrations) in vibrant Austin, Texas. In this role, you will be pivotal in enhancing our automation frameworks and integration processes, ensuring the highest quality in our software delivery.

Join our dynamic team at Careerguidant as an Automation Engineer specializing in Python and PowerShell scripting. In this role, you will be responsible for developing, testing, and implementing automation solutions that enhance our operational efficiency. You will collaborate with cross-functional teams to identify automation opportunities and streamline processes.

2K Games, based in Novato, California and part of Take-Two Interactive Software, Inc. (NASDAQ: TTWO), has published video games since 2005. The company works with studios like Visual Concepts, Firaxis, and Hangar 13 to deliver well-known franchises such as NBA® 2K, BioShock®, and Borderlands®. Teams at 2K Games include engineers, marketers, and artists, all focused on creating memorable gaming experiences. The company values diverse perspectives and aims for an inclusive workplace where everyone can contribute authentically. Role overview The Lead Software Engineer - Automation joins the Shared Development Services’ Automation team in Austin, Texas. This role focuses on designing, building, and implementing automation frameworks that raise game quality and streamline development for multiple studios. What you will do Create and integrate automation software to support the development of major game titles. Work closely with technologists across studios to identify needs and deliver effective automation solutions. Promote adoption of automation best practices throughout the organization. Mentor peers and help grow automation skills within the team. Contribute to shaping infrastructure that supports AAA game production at scale. Requirements Hands-on experience designing and building automation frameworks. Ability to collaborate with engineers and technologists from multiple studios. Strong communication skills for mentoring and advocating best practices. Background in supporting large-scale software or game development is a plus.

Join BillionToOne as an Automation Service Engineering Associate II specializing in Prenatal services. In this pivotal role, you will contribute to enhancing our automation processes, ensuring high-quality service delivery in prenatal diagnostics. You will collaborate with a talented team to develop and implement innovative automation solutions that drive efficiency and accuracy.

SEON stands at the forefront of fraud prevention and AML compliance, empowering thousands of companies globally to combat fraud, mitigate risks, and safeguard their revenue. Utilizing over 900 real-time, first-party data signals, SEON enhances customer profiles, identifies suspicious activities, and optimizes compliance processes—all from a single platform. With superior data quality, transparent analysis, and rapid value delivery, SEON outperforms competitors in the market. Our partnerships with renowned digital brands such as Revolut, Wise, and Bilt have enabled clients to reduce fraud by 95% and achieve an impressive 32x ROI. As we continue to expand, we are looking for innovative leaders to join our mission.In the role of Director of AI Engineering, you will spearhead our AI-driven innovation and engineering initiatives across all locations. This includes establishing an applied research group, steering strategic AI projects that align with our vision to become the premier AI-driven command center for risk and compliance teams, and leveraging cutting-edge technologies to enhance our fraud prevention solutions and deliver exceptional value to our clients.Your responsibilities will encompass building and nurturing a skilled team of AI engineers and data scientists, guiding the strategic direction of our data initiatives towards making SEON an AI-centric organization. This role requires close collaboration with various departments to embed data-driven decision-making and AI capabilities throughout the company, thereby playing a crucial role in our swift growth and transformation.

Senior Full Stack Engineer – NODA AILocation: Austin, TX (Hybrid on-site, with up to 20% travel)Clearance Requirement: Must be a U.S. Citizen and capable of obtaining a security clearance.About NODA AINODA AI, a veteran-owned and venture-backed technology enterprise, is pioneering advancements in unmanned systems collaboration within complex, mission-critical scenarios. We are at the forefront of developing next-generation solutions that facilitate the autonomous orchestration of diverse unmanned systems across various terrains, including air, sea, land, and space, with significant applications in defense, intelligence, and commercial sectors.Our Full Stack Engineers play a crucial role in constructing backend services and operator interfaces that enable seamless mission control and coordination across a variety of unmanned platforms. We bridge cutting-edge autonomous systems with human decision-making through robust APIs and responsive web applications.Joining NODA AI means engaging with innovative technology that expands the horizons of autonomy, as part of a team that values creativity, rapid iteration, and collaboration.The RoleWe are looking for a forward-thinking Senior Full Stack Engineer to architect and develop the backend services and operator interfaces that drive our autonomous vehicle orchestration platform. You will be responsible for creating mission control applications, real-time data processing systems, and the APIs that link human operators with autonomous fleets across multiple domains.Your primary focus will be on building scalable backend services that integrate seamlessly with ROS2-based autonomous systems, developing robust data pipelines for telemetry processing, and crafting responsive web interfaces for mission planning and fleet coordination. This role requires strong C++ proficiency to interact directly with autonomous system middleware, and the ability to connect robotics systems with contemporary web applications.Key ResponsibilitiesDevelop scalable backend APIs and microservices using Python and C++ within an event-driven architecture to facilitate real-time orchestration.Design and implement event-driven data pipelines for processing telemetry, sensor feeds, and mission data from diverse vehicle fleets utilizing publish/subscribe methodologies.Create dynamic operator interfaces using React for mission planning, fleet coordination, and system monitoring.Establish WebSocket-based communications to enable low-latency interactions between operators and autonomous systems.

UiPath builds enterprise automation software that helps organizations improve how they work. The company focuses on automation and AI to help customers streamline processes and unlock new efficiencies. This Sales Engineer position is based in Austin and sits within the Commercial division. The role centers on guiding prospects, customers, and the UiPath sales team through the technical aspects of the UiPath platform. Sales Engineers act as trusted advisors, identifying where automation and AI can add value and helping design new workflows for clients. What you will do Promote automation by integrating digital workforces with AI and machine learning features. Advise on optimizing the UiPath platform, develop marketplace solutions, and create industry-specific accelerators. Analyze industry challenges to find opportunities for business improvement. Work with the sales team to plan account strategies, expand UiPath’s offerings, and achieve business goals. Build and present custom demos and proofs of value for both prospective and current clients. Lead process discovery sessions to review current workflows, spot automation opportunities, and estimate value gains. Partner with Product & Engineering, Marketing, and Customer Success teams to share customer feedback and help improve UiPath’s products. Share insights and best practices with the Go-To-Market team. Provide feedback to product teams to support ongoing innovation and enhance customer satisfaction. UiPath values curiosity, drive, and a collaborative spirit. The company looks for team members who care about their colleagues and the shared mission of advancing automation.

About Future Secure AI Future Secure AI develops advanced artificial intelligence solutions for global enterprises. The company focuses on solving complex problems across multiple industries, driven by a culture that values bravery, rigor, and curiosity. Leadership encourages open communication and values contributions from every team member. Professional growth is a priority, with support for ongoing development. The team includes experienced leaders and skilled engineers who work collaboratively to create impactful products.

Join our dynamic, VC-backed client based in Texas as an AI Engineer! We are open to remote candidates who are passionate about artificial intelligence and eager to make a significant impact.Key ResponsibilitiesSpearhead the development and implementation of Retrieval-Augmented Generation (RAG) systems.Design and architect multi-agent systems that work seamlessly within our platform.Create robust, highly scalable systems powered by large language models (LLMs) designed for enterprise-level demands.Lead LLM fine-tuning initiatives to tailor models for specific business applications and domains.Enhance LLM performance, cost-efficiency, and reliability in live production settings.Mentor and nurture junior engineers in AI and machine learning best practices.Assess and evaluate emerging AI technologies for potential integration into our solutions.

Join our innovative team at ag as a Senior AI Engineer. In this pivotal role, you will lead the design and implementation of cutting-edge AI solutions that drive our mission forward. Your expertise will contribute to developing intelligent systems that enhance user experience and optimize processes.As a Senior AI Engineer, you will collaborate with cross-functional teams to identify opportunities for AI integration and develop scalable models. This is an exciting opportunity to shape the future of technology in a dynamic environment.