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Software Engineer, Agentic Product

Builds scalable agentic products including LLM agents, RL environments, full-stack interfaces, and orchestration pipelines for AI model training and automation. Works cross-functionally on automation and evaluation platforms using Python, React, and AI tools.

130k – 500kSan Francisco, CANew York, NYBackend EngineeringOnsite

About the role

What You’ll Do

  • Own agentic features end-to-end — from scoping with researchers/ops partners through implementation, launch, and iteration on real customer feedback.
  • Design and ship LLM agents, harnesses, and verifiers — including the tools, prompts, and policies that make them reliable.
  • Build the Python/FastAPI services and Temporal/Modal pipelines that orchestrate agent runs, human-in-the-loop review and iterations.
  • Build state of the art RL environments that expand the capabilities of frontier agents, with realistic enterprise apps, simulated coworkers, and rich company data rooms that support tasks spanning hours to days.
  • Build tooling that turns agent trajectories into insight, from statistical analysis to automated failure mode detection.
  • Build and refine the full-stack surfaces and data infrastructure — craft Next.js/React interfaces where operators and experts work with agents, evolve data models to give agents the structured context and audit trails they need.
  • Define agent quality and drive continuous improvement — build evals, instrument traces, analyze failure modes, and iterate on prompts, tools, and guardrails while raising the bar for reliability, cost, latency, and UX.
  • Partner cross-functionally to shape agent autonomy — work with Product, Design, Research and Ops to draw the lines between autonomous action, propose-and-approve flows, and human-in-the-loop decisions.

Tech Stack

Backend: Python, FastAPI, Django, Pydantic
Frontend: Next.js, React, TypeScript, Tailwind
Data: PostgreSQL, MySQL, Snowflake, DuckDB, Redis
Orchestration/Infra: Kubernetes, Temporal, Modal, Woz
Agents/LLM: LangGraph, LangChain, FastMCP, Harbor, NemoGym
Observability: Datadog, PostHog, LangSmith

Benefits

  • Bi-annual performance bonus structure
  • Generous equity grant vested over 4 years
  • Up to $15k Relocation bonus
  • $10K housing bonus (if you live within 0.5 miles of our office)
  • $1.5K monthly stipend for meals
  • Free Equinox membership
  • $200 monthly laundry reimbursement
  • $200 monthly personal wellness reimbursement
  • Health, Dental, Vision insurance

Skills

PythonFastAPIDjangoPydanticNext.jsReactTypeScriptTailwindPostgresMySQLSnowflakeDuckdbRedisKubernetesTemporal

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