Senior Backend Engineer for AI Finance Platform

Title: Senior Backend Engineer (FastAPI + Jenkins) to Scale AI Agents Platform (Finance)

Description:
I’m building a production AI Agents platform for financial research (multi-agent workflows, document ingestion, retrieval, task orchestration, APIs). I need a senior backend engineer who has shipped and scaled real systems.

Must-have skills:
- Python + FastAPI (production-grade APIs, auth, rate limits, background jobs)
- CI/CD using Jenkins (pipelines, deployments, rollback)
- Scalable backend architecture (queues, caching, DB design, reliability)
- Experience with LLM/agent systems (RAG, tool calling, orchestration) is a big plus
- Comfortable with AWS/GCP, Docker, Postgres, Redis (or equivalents)

What you’ll do:
- Build/scale core backend services for agent execution + research pipelines
- Set up/maintain Jenkins CI/CD and deployment workflow
- Improve latency, reliability, observability, and cost efficiency
- Write clean, well-tested, well-documented code

To apply, reply with:
1) 2–3 most relevant backend projects (links or brief details)
2) Your FastAPI production experience (traffic/load scale)
3) Your Jenkins pipeline experience (what you built)
4) Your timezone + weekly availability
5) A short note: How would you architect an agent execution system (queues, retries, monitoring)? (5–8 lines)

Budget: Competitive. Long-term possible for the right person.
Start: Immediate.