Fullstack Software Engineer, Applied AI
Builds and deploys production-grade AI agents and workflows for business functions like marketing, recruiting, and product. Requires 3+ years experience shipping AI/ML apps, including LLM systems, with strong Python/TypeScript skills.
About the job
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
Skills
Python, TypeScript, LangChain, LangGraph, LLMs, Prompting, Retrieval, Orchestration, Inference Apis, Evaluation Pipelines
Similar jobs
ML Engineering jobs
Pindrop
United States
Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.
Office Hours
San Francisco, CABuild reproducible systems for AI model benchmarking, including datasets, evaluation pipelines, containerized environments, scoreboards, and analysis tools. The role requires 4+ years of professional engineering experience, strong Python, dataset rigor, and Docker expertise.
Clay
New York, NY
Build and ship production AI agents and the platform infrastructure that makes them reliable, steerable, and measurable. The role requires strong backend fundamentals, production LLM or agent experience, and expertise in evaluations, retrieval, orchestration, or tool-use design.
Clay
San Francisco, CA
Build and ship production machine-learning systems that learn from customer data and behavior, including recommendations, LLM-powered features, evaluation systems, and ML infrastructure. The role requires 5+ years of ML engineering or ML-heavy software engineering experience and strong production systems expertise.
Mirage
New York, NY
Build and deploy agentic systems that power AI-driven creative video workflows. The role requires 5+ years of experience, production ML or agentic pipeline development, context engineering, and expertise in evaluation and agent infrastructure.