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.