Chief Senior Backend Engineer at Chief building core backend systems and AI features for the member platform. Own backend services, GraphQL APIs, and ensure security and reliability of AI-powered features.
Responsibilities
We're hiring a Senior Backend Engineer who builds with AI, both in the product and in how they work. You'll own core backend systems behind the Chief member experience and lead the server-side work that brings AI features to members.
Our member platform runs on TypeScript, Node, GraphQL, Postgres, with a React frontend. You'll shape its evolution: the APIs, data models, and integrations that let us ship LLM-powered features safely and reliably. On a small team, your judgment on design, tradeoffs, and quality will carry real weight.
Design, build, and own backend services and GraphQL APIs for the member platform, from design through production.
Build the backend for AI features, including our member concierge and matching: LLM integrations, retrieval and context pipelines, tool use, and evaluation.
Put security guardrails around AI in production: human-in-the-loop review, logging, cost and latency monitoring, and handling of member data.
Keep the platform highly available and fault tolerant, with sound observability, testing, and incident response.
Partner with product, design, and data to scope features, make tradeoffs, and ship iteratively.
Raise the bar on AI-assisted engineering: use and improve tools like Claude Code across the team, and share what works.
Mentor engineers and contractors through code review, design review, and pairing.
6+ years of software engineering experience, mostly on backend systems running in production.
Deep expertise in Node and TypeScript, including backend building blocks like queues, background jobs, and ORMs.
Strong data modeling and SQL skills, ideally with Postgres.
Qualification
Experience with RAGExperience building agentic workflowsFamiliarity with LLM evaluationExperience with Apollo and ReactPrior work at a membershipWhy You'll Want to Work HereCompetitive salary and equity
Preferred
Experience with RAG, embeddings, vector search, or recommendation and matching systems.
Experience building agentic workflows, tool use, or MCP integrations.
Familiarity with LLM evaluation, prompt versioning, and AI observability tools.
Experience integrating with Salesforce or other CRMs, and with data warehouses such as Redshift.
Experience with Apollo and React.
Prior work at a membership, community, or consumer subscription company.
