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The RoleWe’re hiring a lead backend engineer to own and harden the systems at the center of our product. You’ll work in a Python backend with clear service boundaries, ship production changes with high ownership, and raise the bar on reliability, performance, and design.
This is not a CRUD API role. You’ll reason about ranking and retrieval quality, multi-tenant data models, external API complexity, and LLM systems that have to work under real support-desk constraints.
What You'll Work On- Search & retrieval: Modern search and retrieval systems (e.g., Elasticsearch, PgVector), airflow, filters, embeddings, and result quality
- Answer / QA services: orchestration around LLMs, prompt engineering, and agentic tool use
- Integrations & auth: connectors and OAuth/SSO/SAML flows across various support platforms
- Async & data pipelines: Async job systems, data pipelines, and ingestion workflows for heterogeneous source data
- APIs & data model: REST services, ORM/data modeling, and database migrations, multi-tenant correctness
- Production systems: Redis, container orchestration (e.g., Kubernetes), observability, feature flags, and robust testing frameworks
What We're Looking For- 7+ years building production backend systems (or equivalent depth)
- Expert-level Python and comfort in large existing codebases
- Strong experience with relational data modeling (Postgres), migrations, and query performance
- Experience with search or information retrieval (Elasticsearch/OpenSearch, vector search, or similar): or clear evidence you can ramp fast
- Experience designing reliable integrations with third-party APIs (auth, rate limits, webhooks, eventual consistency)
- Familiarity with async job systems (Celery, Sidekiq, RQ, or similar) and production debugging
- High bar for code quality: tests, clear interfaces, careful rollouts, written design when the problem warrants it
- Ability to own problems end-to-end with minimal hand-holding
Must Have- LLM/RAG systems in production (grounding, evaluation, tool calling)
- Flask or comparable Python web frameworks (Django/FastAPI fine)
- Enterprise identity (SAML, OAuth2, SSO)
- Airflow, Singer/Meltano taps, or dbt
- Kubernetes / GCP
- Frontend TypeScript, React for full-stack debugging
- Familiarity with ticket systems (e.g., Salesforce, Zendesk, ServiceNow)
How We Work- Collaborative, high-ownership engineering culture
- Ship in small, reviewable PRs; pair when the problem is hard
- Depth matters: we value engineers who can go deep on search quality, integration edge cases, and production incidents
Perks- Cutting-edge tech stack: Work with LLMs, vector search, and complex integrations
- Remote-first culture: Flexibility to work from anywhere
- High-impact role: Ownership over critical infrastructure and product features
- Collaborative environment: Join a small team of experienced engineers
What Success Looks Like in the First 6 Months- Independently ship backend features across search, answers, or integrations with clean designs and solid tests
- Become a trusted owner for at least one critical backend surface (e.g. retrieval, QA orchestration, or a major connector family)
- Improve reliability or performance of a hot path you’ve touched
- Raise team quality through thoughtful reviews and clear technical writing
Click on Apply to know more.
