Senior Backend Engineer – Mumbai

What You’ll Do & How You’ll Make Your Mark

• Design and scale async REST/WebSocket APIs in Python (FastAPI or similar), using dependency injection, type hints, and clean, vertical-slice architecture

• Implement multi-agent workflows (sequential, concurrent, and handoff patterns) to route work among specialized LLM agents

• Integrate multiple LLM providers behind a provider-agnostic layer, enabling A/B testing and cost-aware routing rather than hard-coding a single vendor

• Build and maintain Retrieval-Augmented Generation (RAG) pipelines against vector stores such as pgvector, Chroma, or a managed vector search service

• Design schemas and evolve data models (SQLAlchemy/SQLModel-style ORM plus migrations) that support both traditional application logic and AI-driven features

• Instrument services with structured logs, distributed tracing, and cost/latency metrics, holding a real bar for p95 response time under production load

• Maintain end-to-end CI/CD ownership, lint, type-check, test, package, and deploy, so releases are boring and safe

• Champion AI across the delivery lifecycle, not just code generation, and set the guardrails the team works inside: how generated code gets reviewed, how provenance and licensing are checked, and what customer data may enter a prompt

• Move ideas from concept to production fast, with real ownership over architecture and outcomes, not just tickets

This Job Description includes the essential job functions required to perform the job described above, as well as additional duties and responsibilities. This Job Description is not an exhaustive list of all functions that the employee performing this job may be required to perform. The Company reserves the right to revise the Job Description at any time, and to require the employee to perform functions in addition to those listed above.