The Role
We’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, explicit 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, too

📌 Lead Backend Engineer (India)
🏢 Ai Startup
📍 India