Fullstack Software Engineer, Applied AI

What You Will Do

• Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains.
• Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes.
• Translate emerging AI research and tooling into practical, production-ready solutions.
• Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders.
• Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact.
• Contribute to the LangChain and LangGraph ecosystem, including open source components, documentation, and shared tools.

What You Will Bring

• Experienced software engineer with a strong track record shipping AI or ML-powered applications (typically 3+ years, including at least 1 year building LLM systems in production).
• Hands-on experience implementing evaluation and monitoring systems for agents or workflows.
• Deep understanding of the components that make up an AI system: prompting, retrieval, orchestration, inference APIs, and model selection across modalities.
• Strong coding skills in Python or TypeScript (ideally both).
• Excellent communicator who can simplify complex technical ideas for diverse audiences.
• Thrives in a fast-moving, ambiguous startup environment; enjoys identifying the highest-impact problems and driving them to completion.
• Naturally curious and motivated to learn new tools, frameworks, and approaches in applied AI.

Nice To Haves

• Expertise with LangChain or LangGraph.
• Experience building or maintaining open source projects.
• Background in applied AI research or agentic workflow development.
• Based in San Francisco (preferred), NYC, or Boston.

Compensation

Annual Salary Range: $165,000 - $190,000