Backend Engineer - AI/ML Platform (Senior / Staff-ready)

This role is for one of the Weekday's clients

Salary range: Rs 1500000 - Rs 2500000 (ie INR 15-25 LPA)

Min Experience: 6 years

Location: Mumbai, Pune

JobType: full-time

We are seeking a senior-level backend/platform engineer to build and operate ML-backed systems that power large-scale, production-grade AI applications. This role sits at the intersection of backend engineering and applied machine learning, with ownership spanning system design, runtime orchestration, and end-to-end reliability. You will work closely with ML teams to translate models and prompts into robust, observable, and cost-efficient production systems. The role is based in Mumbai initially, with a potential transition to Bangalore after March 2026, and requires mandatory in-office collaboration.

Key Responsibilities

• Design, build, and operate scalable backend systems that support ML-driven applications in production
• Own runtime orchestration, including session and state management, retrieval and memory pipelines such as chunking, embeddings, indexing, vector search, re-ranking, caching, freshness, and deletion
• Productionize ML workflows by defining feature and metadata services, model integration contracts, and ensuring offline and online parity
• Implement evaluation and instrumentation frameworks to continuously measure system and model performance
• Drive system performance, reliability, and cost efficiency across latency, throughput, infrastructure usage, and token economics
• Build observability-first platforms with strong tracing, metrics, logging, guardrails, and fallback mechanisms
• Partner closely with applied ML teams on prompt schemas, tool routing, evaluation datasets, and safe, incremental releases
• Take full ownership of systems from design to deployment, monitoring, and ongoing improvements, shipping independently and responsibly

What Makes You a Great Fit

• 6–10 years of experience in backend or platform engineering, operating at a senior or staff-level scope
• Strong background in building and maintaining distributed, production-grade systems at scale
• Hands-on exposure to ML-adjacent systems such as model serving, retrieval pipelines, orchestration layers, and inference workflows
• Demonstrated ownership of reliability, performance optimization, and cost control in live production environments
• Comfortable working in-office and based in Mumbai or Bangalore, with flexibility for a future location transition
• A proactive mindset with the ability to work independently, make sound technical decisions, and own outcomes end-to-end
• Bonus points for experience building greenfield AI platforms, working with US enterprise clients, or already being based in Mumbai