Senior Software Engineer, AI Agent

The RoleAre you a seasoned software engineer with a passion for innovation in production systems? If you're eager to leverage your expertise in the dynamic field of AI agents, this position is tailored for you.As a key member of our Natural Language Understanding team within the 'agent lab', you will contribute significantly to our mission: pushing the boundaries of what agents can achieve reliably at scale. Your work will enhance the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed execution environments, latency reduction, agent memory management, LLM self-reflection, execution environment simulation, enterprise knowledge integration, and multimodal input/output.Equipped with cutting-edge enterprise AI tools, including top-tier LLMs from providers like OpenAI, you'll be part of a fast-paced team focused on scalable infrastructure and solving complex engineering challenges to deliver exceptional value to our customers. If you are ready to make a significant impact alongside a dedicated and driven team, we invite you to explore this opportunity with us.

The Role As a new graduate Software Engineer focusing on Agentic AI Systems, are you ready to apply your skills at the forefront of AI agents? This position could be the perfect fit for you. Join our dynamic team within the "agent lab" for Natural Language Understanding, where you will significantly contribute to our mission: enhancing the scope of work that can be reliably executed by AI agents at scale. You'll have the chance to shape the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems, code execution, latency optimization, agent memory management, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools including state-of-the-art LLMs from providers like OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling challenging product and engineering issues, and maximizing value for our clients. If you're eager to make a meaningful impact alongside a talented, dedicated, and mission-driven team, we invite you to connect with us.

The Role Are you a skilled software engineer with a proven track record in building and refining production systems? Are you eager to apply your expertise at the forefront of AI technology? If so, this opportunity may be perfect for you. As a Senior Software Engineer on our Natural Language Understanding team within the “agent lab,” you will be pivotal in our mission to enhance the capabilities of AI agents for reliable, scalable performance. You will have the chance to influence the evolution of the Moveworks AI Assistant platform in several key areas: agent orchestration, sandboxed file systems, latency optimization, and multimodal I/O, among others. You will leverage the best tools in enterprise AI, including cutting-edge LLMs from top providers like OpenAI. Our team prioritizes rapid innovation on scalable infrastructure while tackling challenging product and engineering obstacles to deliver exceptional value to our clients. If you are looking to achieve the pinnacle of your career alongside a passionate, dedicated team focused on making an impact, we invite you to connect with us.

About Tenable:Tenable® is at the forefront of Exposure Management. With 44,000 organizations worldwide counting on us to mitigate cyber risk, we empower 65% of the Fortune 500, 45% of the Global 2000, and numerous governmental agencies. Join us in redefining the cybersecurity landscape!Why Choose Tenable?When you ask our team about what makes Tenable a fantastic workplace, the answer is simple: our people! Together, we innovate cutting-edge cybersecurity solutions, fostering a culture of inclusion, respect, and excellence. As part of the #OneTenable team, you'll collaborate with some of the industry's most talented professionals while having access to the resources necessary to make a meaningful impact. We strive to deliver exceptional results and celebrate our victories together!Note: Applicants must be authorized to work in the U.S. without sponsorship. We currently cannot sponsor work visas.Location: Must reside in or be willing to relocate to the San Francisco/San Jose area.Your Role:At Tenable, we're not just creating exceptional products; we're cultivating a premier engineering culture dedicated to hiring top talent. We are seeking a Senior Software Engineer to be part of a pioneering initiative within our engineering team. In this role, you will design and implement the Agentic AI Platform, an orchestration layer that empowers autonomous agents to reason, plan, and execute intricate security workflows within our Exposure Management ecosystem.This role is highly hands-on and has a significant impact. You won't merely be utilizing LLMs; you'll be constructing distributed systems, state machines, and tools that transform generative models into reliable, enterprise-grade agents.While this role is primarily remote, occasional in-person meetings may be necessary.Your Opportunity:Construct the Agentic Backbone: Design and implement backend services that facilitate multi-agent workflows, enabling AI agents to break down complex user requests, manage states, and execute tasks across distributed microservices....

ABOUT THE ROLE:As an AI Engineer at Varick, you will take charge of designing and optimizing the intelligence layer within our enterprise operations. This involves creating agent systems that efficiently handle thousands of transactions, make classification decisions, and learn from human interactions.This position is suited for engineers with extensive experience in LLMs, agent architectures, and evaluation systems. You have successfully developed agent workflows that operate in production, not merely in demo environments. Your expertise includes prompt engineering, retrieval, tool calling, multi-agent orchestration, and the evaluation frameworks necessary for deploying trustworthy AI systems in enterprise settings.WHAT YOU'LL DO:• Design and implement agent architectures that tackle complex enterprise workflows, focusing on multi-step reasoning, tool calling, and exception handling.• Develop and sustain evaluation systems that ensure agent quality, accuracy, safety, and groundedness.• Create robust prompt systems, retrieval pipelines, and context engineering strategies to ensure reliable agent performance.• Establish feedback loops that empower agents to learn from human corrections and enhance their functionality over time.• Optimize inference costs and latency for production workloads to ensure efficiency.• Define and uphold best practices for agent reliability, observability, and governance.• Stay updated with the latest models, frameworks, and research to ensure impactful deployments into production.WHAT WE'RE LOOKING FOR:• At least 3 years of software engineering experience, with a minimum of 1–2 years dedicated to LLM applications or AI systems in a production environment.• Practical experience in constructing agent workflows featuring tool calling, retrieval, and multi-step reasoning.• A profound understanding of prompt engineering, context engineering, and methods to elicit reliable behavior from LLMs.• Experience in developing evaluation systems to assess AI output quality.• Proficient in Python with a solid foundation in backend engineering principles.• You have delivered AI features to actual users and have navigated challenges such as hallucinations, edge cases, accuracy drops, and cost management.• Must be based in San Francisco.

About DecagonDecagon stands at the forefront of conversational AI, empowering brands to create unparalleled customer experiences. Our platform enables leading enterprises such as Avis Budget Group, Block’s Cash App, Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that facilitate personalized, engaging interactions across voice, chat, email, SMS, and beyond.We envision a world where customer interactions transcend traditional support tickets and hold music, fostering quicker resolutions, richer dialogues, and stronger relationships. Our esteemed investors, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, share this vision and support our mission.As an in-office company, we are united by our commitment to excellence and rapid execution. Our core values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — guide our collaborative work environment and team growth.About the TeamThe Agent Orchestration team is responsible for developing the foundational execution layer that drives every agent interaction. We create systems that coordinate model reasoning, assess agent behavior, and ensure reliability in real-world customer scenarios. Our focus on accuracy, dependability, and speed enables Decagon agents to plan, decide, and act effectively across millions of interactions.About the RoleAs a Senior Software Engineer on the Agent Orchestration team, you will design and develop systems that govern the performance of Decagon agents in real-world conditions. You will tackle complex challenges associated with distributed systems and lay the groundwork for enhancing agent performance, reliability, and quality.This role offers significant autonomy and the opportunity to make a direct impact on the architecture of one of the most sophisticated agent platforms globally.In this role, you will:Develop the execution engine that supports intelligent agents at scale.Design systems that synchronize model reasoning and actions while maintaining speed and accuracy.Enhance reliability through improved testing, observability, and safety measures.Establish foundations that enable teams to evaluate and enhance agent behavior safely and continuously.

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable and steerable representations of enterprise data.We build trust through our product Crunch, a policy-driven health layer that ensures large tabular datasets remain efficient, reliable, and reversible. On this solid foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures in order to provide trustworthy answers and automation with inherent provenance and governance.Our MissionAI is currently hampered not only by the design of models but also by the inefficiencies of the data that supports them. Every redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste as we scale.Granica aims to eliminate these inefficiencies. We merge cutting-edge research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructures: systems that consistently enhance the representation and utilization of information by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari of Stanford University, bridging advancements in information theory and learning efficiency with large-scale distributed systems. Together, we firmly believe that the next major advancement in AI will stem from breakthroughs in efficient systems rather than merely larger models.Your ContributionsGlobal Metadata Substrate: Design a transactional and metadata substrate that facilitates time-travel, schema evolution, and atomic consistency across massive petabyte-scale tabular datasets.Adaptive Engines: Develop systems that autonomously reorganize data, learning from access patterns and workloads to maintain peak efficiency without the need for manual tuning.Intelligent Data Layouts: Optimize bit-level organization (including encoding, compression, and layout) to maximize signal extraction per byte read.Autonomous Compute Pipelines: Create distributed compute systems that scale predictably, adapt to dynamic loads, and ensure reliability under failure conditions.Research to Production: Apply new algorithms in compression, representation, and optimization that emerge from ongoing research. We encourage opportunities to publish and open-source your work.Latency as Intelligence: Design systems that inherently minimize latency as a measure of intelligence.

Join Aircall as a Senior Software Engineer specializing in AI Voice Agents, where you'll play a pivotal role in designing and implementing innovative voice solutions. Your expertise in software development and artificial intelligence will help us enhance customer interactions through cutting-edge technology.

Why Choose Flux?At Flux, we are transforming the landscape of hardware development by pioneering the world's first AI Hardware Engineer. Our mission is to democratize access to cutting-edge hardware creation and transform the way electronics are designed and manufactured globally.About the RoleWe are on a quest to build the first AI Hardware Engineer, software capable of designing tangible, manufacturable electronics from simple prompts. As a Senior Software Engineer focusing on Agentic Development, you will be responsible for creating the system's intelligence, developing agentic workflows, reasoning graphs, and integrations that empower both novice and experienced engineers in their journey from concept to manufacturable hardware.This position fuses advanced web engineering with AI systems design. You will leverage TypeScript and LangGraph within the Flux web application and backend platform, embedding intelligent features directly into the design environment.Key ResponsibilitiesDevelop and implement agentic reasoning capabilities using TypeScript (LangGraph).Integrate AI functionalities into the Flux web application (React/Redux) and Chat UI.Implement telemetry and logging for monitoring runtime health, performance, and cost efficiency.Collaborate closely with product and electrical engineers to refine intelligent ECAD workflows.Conduct evaluations and translate insights into engineering decisions.Contribute to the development of agentic patterns, conventions, and best practices within the engineering organization.Required Qualifications8+ years of experience in software engineering, with at least 1 year in developing generative-AI or agentic systems.Proficient in TypeScript, React, and Node.js.Experience with LangChain, LangGraph, or similar orchestration frameworks.Proven track record in building asynchronous, distributed systems in a production environment.Experience in integrating LLM-based systems into complex user-facing web products.Strong communication skills and comfort working in a fully remote, asynchronous team setting.Previous experience in a startup or in 0→1 product development environments.Preferred QualificationsFamiliarity with retrieval systems, evaluation pipelines, or agent benchmarking.

Join Perplexity as a dynamic AI Software Engineer on our innovative Comet Agents engineering team. We are a tight-knit group of AI/ML specialists, backend developers, and full-stack engineers dedicated to creating engaging agentic experiences within our Comet ecosystem. Our mission is to empower users with AI agents that genuinely understand and fulfill their intents, enabling seamless, open-ended interactions with the digital world.As a key contributor to the Comet Agents team, you will apply your AI expertise, product intuition, and creative problem-solving skills to push the boundaries of what AI agents can achieve for our millions of loyal users. Your work will span applied research and engineering, tackling various challenges in AI, including:Crafting AI agents capable of navigating the digital landscape and executing valuable tasks for users;Developing action and decision models that effectively achieve user-defined objectives based on complex multimodal states;Delivering exceptional user experiences across desktop, mobile, headless cloud, and more, utilizing flexible abstractions and seamless background processes;Implementing secure-by-design capabilities through the creation of permission architectures and payload classifiers;Designing optimal data representations and interaction modes between agents and their environments;And much more!ResponsibilitiesLead the development of cutting-edge AI functionalities within our rapidly evolving AI agents product.Utilize advanced AI models, infrastructure, and browser technologies to enhance capabilities for our expanding user base.Uphold high standards of quality and performance in AI agents and user experience.Collaborate with engineers, designers, product managers, and data scientists to integrate core Perplexity functionalities into Comet agents.Contribute to product reliability, code quality, AI evaluation, testing, and ongoing maintenance across the team.QualificationsSolid foundational knowledge of the complete AI product stack.Experience with AI/ML frameworks and backend development.Proficiency in programming languages commonly used in AI development.Ability to work collaboratively in a fast-paced, interdisciplinary environment.Strong problem-solving skills and a passion for innovation in AI technologies.

Location: San Francisco, Bellevue, AmsterdamRole Overview: Are you a well-respected technical authority in Generative AI and MLOps, eager to shape the future of production AI Agentic Systems? This Senior Developer Advocate position offers a unique opportunity to take strategic ownership over developer engagement and technical discussions surrounding Agent Bricks on the Databricks Data Intelligence Platform.As a vital link between our engineering teams and the global developer community, you will enhance the careers of data scientists and AI engineers by integrating advanced research, customer insights, and best practices into scalable, production-ready reference implementations, presentations, and demos. You will play a key role in fostering a global community for AI Agentic workflows and LLMOps, with a particular focus on MLflow and Agentic System governance.More About The DevRel TeamAt Databricks, we are dedicated to empowering data and AI teams to tackle the world's toughest challenges. Our mission in Developer Relations (DevRel) is to support data practitioners, data scientists, and the wider developer ecosystem by building vibrant communities, creating exceptional content, and nurturing a truly reciprocal relationship with our users. Our primary goal is to drive awareness and adoption of the Databricks Data Intelligence Platform.The Impact You Will HaveYou will utilize your technical expertise, community-building capabilities, and market insights to drive awareness and adoption, establishing Databricks as the premier technical leader in enterprise AI governance and Agentic Systems.Strategic Roadmap Ownership: Develop and implement the global technical advocacy strategy and roadmap for a critical aspect of Databricks AI Agentic Systems (e.g., RAG Architectures, AI Agent Evaluation, or LLM Governance), ensuring alignment with product objectives and measurable metrics.Evangelism: Collaborate with field AI engineers to design and deploy production-grade reference implementations and create impactful live demonstrations that address real-world enterprise GenAI challenges, highlighting best practices in performance, evaluation, and security. You will advocate for Agent Bricks as the definitive solution to 'Take your AI to your Data.'Technical Content Scaling: Produce high-quality, actionable educational resources, including comprehensive course materials and documentation.

The Role Are you a seasoned software engineer with a passion for technical leadership and a track record of enhancing production systems? If you're eager to leverage your expertise at the forefront of AI technology, this opportunity might be perfect for you. As a Staff Software Engineer on our pioneering Natural Language Understanding team within the “agent lab,” you will be instrumental in our mission to expand the boundaries of what AI agents can accomplish reliably and at scale. You'll lead the transformation of the Moveworks AI Assistant platform in key areas such as agent orchestration, sandboxed file systems, code execution, latency optimization, agent memory management, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge enterprise AI tools, including top-tier LLMs from providers like OpenAI, our team focuses on rapid development of scalable infrastructure, tackling complex engineering challenges, and maximizing value for our customers. If you're ready to elevate your career alongside a passionate and impact-driven team, we would be thrilled to engage with you.

About SentryAt Sentry, we are committed to transforming the way developers build software. With a mission to eradicate poor software experiences, we empower developers to create better applications more efficiently, ensuring a seamless encounter with technology.Backed by over $217 million in funding and trusted by more than 100,000 organizations, including industry giants like Disney, Microsoft, and Atlassian, we are at the forefront of performance monitoring and error tracking solutions. Our innovative tools enable companies to focus on product development rather than bug fixes.We embrace a hybrid work environment across our global offices, designating Mondays, Tuesdays, and Thursdays as in-office collaboration days to foster meaningful team interactions. If you are passionate about creating solutions that enhance the digital experience, join us in developing the next wave of software monitoring tools.About the RoleAs a Senior Software Engineer on Sentry’s AI/ML team, you will play a pivotal role in constructing the evaluation infrastructure that assesses the accuracy, reliability, and performance of our AI systems in real-world scenarios. This position is essential for ensuring that our debugging agents and AI-driven features operate correctly, safely, and predictably as they scale. You will design datasets, benchmarks, and test harnesses that convert vague AI behavior into quantifiable metrics, enabling the team to deploy AI solutions with confidence.In This Role You WillDevelop and implement robust evaluation frameworks to assess accuracy, reliability, regressions, and edge cases within AI systems.Generate and manage high-quality datasets, golden test cases, and benchmarks based on real production data.Create automated test harnesses and metrics pipelines to continuously evaluate models, prompts, and workflows.Collaborate closely with applied AI engineers and product leaders to establish clear definitions of success and translate them into measurable criteria.Oversee the evaluation lifecycle for significant AI projects, from initial experimentation to ongoing production monitoring.You'll Love This Job If YouHave a strong commitment to accuracy, rigor, and measurement in AI systems.Enjoy transforming ambiguous product objectives and model behaviors into precise tests and metrics.Take pleasure in building foundational infrastructure that facilitates rapid iteration and boosts team confidence.Thrive in collaborative environments and relish the opportunity to influence model design through effective evaluation.

Discover OktaOkta is recognized globally as the premier Identity Company. We empower individuals to securely utilize any technology, on any device or application. With our versatile Okta and Auth0 Platforms, we deliver secure access, authentication, and automation, placing identity at the forefront of enterprise security and growth.At Okta, we embrace a multitude of perspectives and experiences. We seek lifelong learners who can enhance our team with their unique insights rather than merely fulfilling a checklist.Become a part of our mission! We’re creating a future where identity truly belongs to you.As we embark on building the next generation of authentication suitable for the GenAI era, we are in search of a Senior Software Engineer for our AI Developer Experience team at Auth0. This crucial role revolves around extending and enhancing our Auth for GenAI initiative by creating the infrastructure, tools, and developer experiences that enable both human developers and AI agents to construct secure, intelligent applications.Within the Auth0 Emerging Tech division, we thrive on cutting-edge technology. We deliver swiftly without compromising quality. Our dynamic, diverse, and collaborative team values ownership, continuous learning, and innovation.This role is perfect for engineers who relish building solutions for fellow engineers, navigating across tech stacks, and influencing the future of AI integration in production systems. You will work closely with engineering, product, and security teams to make significant advancements in developer tools, agent authentication, orchestration frameworks, and practical demonstrations.

About Retell AIAt Retell AI, we are pioneering the future of call centers through innovative voice AI technology. Our cutting-edge solutions are transforming how companies engage with customers.In just 18 months since our inception, we've empowered thousands of businesses with our AI voice agents that efficiently manage sales, support, and logistics calls, significantly reducing the need for large teams of human agents. Supported by industry-leading investors including Y Combinator and Alt Capital, we've grown our annual recurring revenue from $5M to an impressive $36M while expanding our team from 5 to 20 talented individuals since 2025.Our ambitious vision for 2026 is to develop a state-of-the-art customer experience platform where entire contact centers are driven by AI. Unlike basic automation requiring constant human oversight, we’re engineering intelligent AI “workers” capable of serving as frontline agents, quality assurance analysts, and managerial roles, all while optimizing customer interactions continuously.We are rapidly expanding and seeking driven builders who thrive on solving complex technical challenges, act decisively, and wish to make a tangible impact in one of the fastest-growing voice AI startups.Join us in shaping the future!Recognized as a top 50 AI application in the a16z list: https://tinyurl.com/5853dt2xRanked #4 in Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025Featured among the top startups on: https://leanaileaderboard.com/

Join our innovative team at Pallet as a Forward Deployed Software Engineer specializing in AI Agents. In this pivotal role, you will develop and implement cutting-edge AI solutions that enhance user experiences and streamline operations. Collaborate with cross-functional teams to deliver impactful software that drives our mission forward.

Coframe seeks Agent Engineers based in the SF Bay Area to design and build scalable systems focused on generating, testing, and monitoring user interfaces. This position centers on delivering reliable solutions that support a range of products and platforms. Key responsibilities Develop systems that create consistent, production-ready experiences for multiple platforms Implement automated tools for quality assurance and interface monitoring Enable rapid experimentation and ongoing optimization Role impact Agent Engineers at Coframe play a direct role in improving optimization, accelerating experimentation, and achieving measurable results across various products and platforms.

About UnifyUnify is revolutionizing the way revenue teams operate by developing the first AI-powered system of action. Our mission is to transform outbound strategies into a robust growth engine, ensuring that go-to-market execution is observable, repeatable, and scalable. Established in 2023 by industry leaders from Ramp and Scale AI, our talented team boasts backgrounds from renowned companies like Airbnb, Meta, Waymo, and Perplexity.In 2024, Unify achieved an impressive 8x revenue growth and serves a diverse clientele including Perplexity, Cursor, SoFi, and Justworks. We are a dynamic team fueled by high energy and intensity, having secured $58M in funding from leading investors such as Thrive, Emergence, and OpenAI. Join us in shaping the future of GTM!About the Role:As a Senior Software Engineer specializing in AI at Unify, you will be at the forefront of innovation, developing new AI products and enhancing our AI platform. Your work will encompass agents, retrieval systems, classification, fine-tuning, reinforcement learning, and LLM inference infrastructure. If you are passionate about creating production-ready AI systems and wish to contribute to cutting-edge applications used by premier GTM teams, this role is for you.

Scale GP is at the forefront of enterprise Generative AI, offering cutting-edge APIs and infrastructure for knowledge retrieval, inference, evaluation, and intelligent automation. We empower critical workflows for leading enterprises, transforming intricate data and models into dependable, production-ready AI systems. Join our newly formed Agentic Data Products team, dedicated to creating the next generation of agent-powered tools that seamlessly integrate AI into real operational workflows. Our mission is to enable enterprises to unravel their data layers and deploy intelligent systems capable of reasoning, acting, and delivering measurable outcomes. This is a pioneering build team, and we are seeking a highly skilled, product-focused Senior Engineer who thrives in dynamic environments, acts swiftly, and relishes the challenge of constructing new systems from the ground up in collaboration with customers and cross-functional teams. You will partner closely with product managers, forward-deployed engineers, data scientists, and applied AI specialists to transform real-world challenges into scalable, production-ready solutions. If you have a passion for rapid delivery, accountability for outcomes, and enjoy working across the entire stack—from sleek front-end applications to robust distributed backends and LLM integrations—this role is perfect for you.