Senior Backend Engineer

7+ years building and shipping production backend systems in Python (FastAPI, Celery, or equivalent), taking features from prototype to production with real reliability practices like tests, observability, and rollback.

Hands-on experience building LLM features in production: tool and function calling, multi-step agent workflows, and the guardrails and evals that keep them grounded, safe, and cost-effective. This is the core of the role.

Strong data fundamentals: SQL, schema design, and building pipelines that power retrieval and evaluation.

Thrives in a fast, scrappy startup environment with high ownership and a bias for action, speed, quality, and simplicity.

TypeScript and Node, plus familiarity with Ruby on Rails (our core platform) or a willingness to learn it.

Experience with AWS or GCP, Docker, CI/CD, and observability (logs, metrics, traces).

RAG depth: document ingestion, chunking and windowing, embeddings, hybrid search (keyword plus vector), re-ranking, and grounded citations.

Experience with re-rankers and cross-encoders, hybrid retrieval tuning, or search and recommendation systems.

Evaluation mindset: designing eval suites (RAG/QA, extraction, summarization) using automated and human-in-the-loop methods, with familiarity with frameworks like Ragas, DeepEval, or OpenAI Evals.

Orchestration frameworks: LangChain or LangGraph, LlamaIndex, Semantic Kernel, or custom orchestration.

For US-based candidates, the target salary range for this role is 175,000 - $220,000 USD, plus equity. Final compensation is determined based on experience, skillset, scope of responsibility, interview performance, and geographic location. We’re committed to paying competitively and equitably.

For candidates based in Canada, compensation varies by province and will be shared by your recruiter early in the process.