Senior Python Engineer
Lead the Python side of our agentic systems: orchestration, data pipelines, and LLM infrastructure.
- Python
- FastAPI
- Postgres
- Vector DBs
- GCP
- Docker
Python is where our agent orchestration and data work lives: multi agent systems that run long horizon tasks, retrieval pipelines, evaluation harnesses, and the ingestion jobs that feed all of it.
This is a senior seat. You will make architectural calls that other engineers build on, and you will be expected to defend them.
Build agentic systems
- Design and ship multi agent orchestration: task decomposition, tool use, state persistence, and recovery when a run fails halfway through
- Build retrieval and evaluation infrastructure, including the eval harnesses that tell us whether a change actually improved anything
- Own the LLM integration layer: prompt and context management, token budgets, caching, and fallback behavior under provider failure
Own the data path
- Build ingestion and transformation pipelines that process large volumes without silent data loss
- Design for idempotency and replay, because every pipeline gets rerun eventually
- Work across Postgres, vector stores, and object storage, and choose between them on evidence rather than habit
Raise the bar
- Set the standards for typing, testing, and packaging across the Python codebase
- Mentor engineers through code review and design discussion rather than by rewriting their work
- Take systems from prototype to production, including the observability and operational work that implies
Required
- Six or more years writing production Python, with systems you designed and owned
- Strong async Python, type hints, and a working understanding of the performance characteristics of the runtime
- Production experience with LLM systems: retrieval, agent frameworks, or inference serving
- Comfortable in cloud infrastructure on GCP or AWS, including deploying and operating what you build
Helpful, not required
- Experience with vector databases and embedding pipelines at scale
- Model serving or fine tuning experience, including local inference
- Background in distributed systems or large scale concurrent processing
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Show us something you built.
Send a resume or profile with a short note about work you have shipped. Links to code, systems, or launched projects tell us more than a cover letter ever will.
careers@contracollective.com