Software Engineer, Agents
Core
Building scalable agentic products, RL environments, and evaluation infrastructure to train frontier AI models and automate operational work.
Role type
Senior full-stack engineer (agentic systems & RL infrastructure)
Builds
Intelligent agents, RL harnesses, verifiers, and evaluation platforms for frontier AI labs
Domain
AI/ML infrastructure, Reinforcement Learning, Agent Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Python, FastAPI, Next.js, React, TypeScript, PostgreSQL, Kubernetes, Temporal, LangGraph, LangChain
Preferred skills
RL environment design, agent orchestration, observability tooling
Technologies
FastAPI, Django, Pydantic, Next.js, React, TypeScript, Tailwind, PostgreSQL, MySQL, Snowflake, DuckDB, Redis, Kubernetes, Temporal, Modal, Woz, LangGraph, LangChain, FastMCP, Harbor, NemoGym, Datadog, PostHog, LangSmith
Responsibilities
Own agentic features end-to-end from scoping to launch; Design and ship LLM agents, harnesses, and verifiers; Build Python/FastAPI services and Temporal/Modal pipelines for agent orchestration; Build state-of-the-art RL environments with realistic enterprise apps; Build tooling for agent trajectory analysis and failure detection; Build full-stack interfaces and data infrastructure for operators; Define agent quality metrics and drive continuous improvement; Partner cross-functionally to shape agent autonomy and human-in-the-loop flows
Seniority
Senior, hands-on IC