AI Agent Engineer Jobs in Boston

Anduril Industries

Anduril Industries is a defense technology company transforming military capabilities with advanced technology. We are seeking Software Engineers to build the core Command and Control software for our Lattice platform, bridging the gap between hardware and human operators. This software runs on vehicles managing real-time telemetry and autopilot tasks, and on Ground Control Stations for mission planning, fleet management, and orchestrating autonomous behaviors. We are also pioneering the integration of GenAI agents for natural language control of autonomous assets. This is a highly autonomous role where you will build, ship, and see your code run on physical hardware deployed in the world.

$166k - $220k

Lila Sciences is building Scientific Superintelligence™ to accelerate discovery across medicine, materials, and energy. We are seeking a Principal Scientist / Associate Director to own the technical direction for agentic AI systems applied to materials science. This player-coach role involves leading a small team, setting the roadmap for autonomous agents that plan, run, and interpret materials experiments, and shifting materials research from human-paced to machine-paced iteration. The work spans foundational research and applied delivery, with opportunities to publish and ship systems that materials teams depend on, shaping how Lila scales agentic capabilities.

$288k - $420k

LILA is building a platform to enable scientists to go from hypothesis to results without context-switching between numerous tools. The Application Team integrates Machine Learning, Life Sciences, and Physical Sciences into a unified AI-native experience. AI is fundamental to the architecture, with agent frameworks, tools, and LLM orchestration as core components. The role involves tackling complex problems by connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs, requiring the invention of new patterns. Engineers will collaborate closely with lab scientists and ML engineers, expanding their technical expertise and shipping impactful tools that accelerate research timelines.

$144k - $240k

LILA is building a platform to enable scientists to seamlessly collaborate with AI, moving from hypothesis to results without context-switching between numerous tools. The Application Team integrates Machine Learning, Life Sciences, and Physical Sciences into an AI-native experience. This role involves designing and building agents, interfaces, and platform integrations that allow researchers to work with AI effectively. The work is challenging, requiring innovation in connecting AI to automated lab workflows and knowledge graphs, and offers opportunities to learn new domains and ship impactful tools that accelerate research.

$204k - $348k

Lila Sciences is building the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of discovery by applying AI to every aspect of the scientific method to solve humankind's greatest challenges in human health, climate, and sustainability. We are a uniquely cross-functional and collaborative team that thrives in unstructured and creative environments, valuing diverse perspectives and transferable skills. If you are passionate about accelerating scientific discovery, we encourage you to apply.

$148k - $240k

LangChain is building the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents. With significant funding and a rapidly growing platform that includes open-source tools and a commercial offering, team members have a meaningful impact on shaping the future of AI technology. The Deployed Engineering team works directly with companies building and running AI agents in production, partnering closely with customer engineers across the full lifecycle to achieve technical wins and ensure reliable operation at scale using the LangChain suite. This role sits at the intersection of engineering, product, and go-to-market, feeding real-world insights back into the platform.

$185k - $300k

DataRobot

This internship focuses on enhancing the usefulness of AI agents in real-world applications by providing them with the right tools, context, and persistent memory across conversations and sessions. The core of the work involves the Model Context Protocol (MCP) and agent memory, exploring how agents discover and safely utilize tools, manage learned information, and remain helpful without constant supervision. The ultimate goal is to deliver practical value to daily agent users through clean, extensible implementations.

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