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# Senior Backend Engineer (AI Platform)

- **Company:** PROVN INC
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Python (Programming Language), PostgreSQL, Lua (Scripting Language), Redis, OpenAI, Search Technologies, SQLAlchemy, Data Streaming, Management of Software Versions, Retrieval-Augmented Generation, Large Language Models, Backend, Fastapi, Pgvector, AI Platforms, Celery
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/edc4bdac-4d36-4d3d-8410-66a4d453366b/senior-backend-engineer-ai-platform

## About the Role

If this job sounds like a great fit but you don't check all of these boxes, we'd still love to hear from you.

 * 5+ years of deep, production async Python: cancellation scopes, streaming lifecycle, and connection pooling
 * Postgres as infrastructure: comfortable reasoning about MVCC, advisory locks, and vacuum discipline, with Redis/Dragonfly used (and not used) where it belongs; real distributed-systems experience, not just familiarity
 * Experience shipping API surfaces other engineers build on: versioning, idempotency, error vocabularies, migration discipline, and documentation to match
 * Depth in at least one of LLM gateway concerns (routing, metering, guardrails, provider failover) or retrieval engineering (hybrid search, reranking, eval methodology, audit-ready RAG), with credibility on the other
 * A cost accounting and evals first mindset: you've shipped a gate or harness that caught a real regression, ideally one of your own
 * Production depth in some modern stack, and the aptitude to ramp quickly on unfamiliar tools
 * Practical familiarity with our core stack: Python 3.12+ (async, type-strict, FastAPI/Starlette, Pydantic v2), asyncpg/SQLAlchemy, Postgres (incl. pgvector), and Redis/Dragonfly with Lua, with willingness to research into the rest
 * Exposure to the surrounding ecosystem: OpenTelemetry (incl. GenAI conventions), SSE/streaming lifecycles, OpenAI/Anthropic provider APIs, job frameworks (Celery/Dramatiq/Prefect-class), rate-limit algorithms (token bucket, GCRA), and integer-cents money handling

Nice to Have

 * Past work in energy, real estate, utilities, climate, or related fields
 * Experience in both startup and enterprise environments

## Description

As a Backend Engineer you will build the services our products and client solutions run on. The center of gravity is LLM infrastructure: the layer that puts one governed front door over many models, hosted and self-hosted, and answers the questions enterprises actually ask: who used which model, for what, at what cost, under whose rules. The platform's first customers are our own client-facing engineers, the people delivering client outcomes with what you build, so requirements arrive concrete, feedback arrives same-day, and the people you support are in the same meeting.