Senior GenAI Engineer

Role Overview - Hyderabad/Bangalore/Chennai/Pune/Mumbai(Hybrid)

We are looking for a Senior GenAI Engineer with strong core engineering foundations and hands-on experience in building and deploying GenAI solutions. This role is execution- and ownership-focused, responsible for delivering GenAI features end-to-end while mentoring junior engineers and handling ambiguous requirements.

Experience Profile

• Overall experience: 46 years
• Core engineering background: Java / Node.js / Python / .NET
• GenAI experience: 12 years of hands-on, production-level experience

Key Responsibilities

GenAI Solution Development

• Build and deploy GenAI-powered features within real-world products.
• Design and implement RAG pipelines, including:
• Embeddings
• Vector databases
• Retrieval strategies
• Integrate GenAI capabilities with backend systems via APIs and services.

System & Solution Ownership

• Own GenAI solutions end-to-end, from design to production rollout.
• Design RAG architectures and decide:
• Chunking strategies
• Retrieval approaches
• Handle ambiguous requirements and convert them into working solutions.

Reliability, Quality & Performance

• Address latency, cost, and evaluation considerations in GenAI systems.
• Implement guardrails and safety mechanisms.
• Contribute to monitoring and basic operational readiness.

Agentic AI Exposure

• Build or work with agent-based workflows, including:
• Multi-step reasoning flows
• Tool/function calling
• Orchestrated GenAI interactions
• Exposure to agent frameworks is a plus, but deep research is not expected.

Mentoring & Collaboration

• Mentor junior engineers working on GenAI components.
• Review GenAI-related code and designs.
• Collaborate closely with backend, data, and product teams.

Must-Have Skills

• Strong backend engineering experience in Java / Node.js / Python / .NET.
• Hands-on experience building GenAI applications in production.
• Experience with:
• RAG pipelines
• Vector databases
• LLM APIs
• Agentic AI
• Solid understanding of API design and backend integrations.
• Ability to reason about trade-offs in performance, cost, and reliability.

Nice-to-Have Skills

• Familiarity with evaluation frameworks for GenAI.
• Exposure to cloud-native deployments.

Experience mentoring junior engineers.