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Job Description
Job Title: Senior Backend Engineer – AI / ML Systems
Experience: 6–10 Years
Location: Mumbai
Mumbai: Thane Belapur Road, Ghansoli, Navi Mumbai – 400701.
Job Summary
We are looking for a Senior Backend Engineer with strong experience building production-grade AI/ML-backed systems. The role requires hands-on expertise in RAG pipelines, embeddings, retrieval, and backend system design. This is not a learning role—candidates must have already delivered ML-backed backend systems in live environments.
Key Responsibilities
Build and maintain backend services for AI-powered products
Design and implement RAG pipelines (document ingestion, chunking, embeddings, vector search, re-ranking)
Integrate ML models into backend services with proper APIs and contracts
Optimize system performance, latency, and cost
Add strong observability (logs, metrics, tracing, alerts)
Ensure scalability, reliability, and security of backend systems
Work closely with ML teams on evaluation, model routing, and release readiness
Must-Have Skills
6–10 years of backend engineering experience
2–3+ years working on AI / ML-backed products
Strong experience with RAG, embeddings, vector databases
Solid backend fundamentals (API design, concurrency, caching, rate limiting)
Understanding of retrieval evaluation (precision, recall, ranking quality)
Experience shipping, deploying, and maintaining production systems
Good to Have
Experience with FAISS / Pinecone / Milvus / Elasticsearch
Agentic workflows or tool-calling systems
Kubernetes and observability tools (Prometheus, Grafana, OpenTelemetry)
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