Senior GenAI Engineer

Hiring JD Senior GenAI Engineer
Job Title
Senior GenAI Engineer
Role Overview
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.
This position is part of our initial GenAI hiring phase, where we prioritize strong backend engineers who have recently built and shipped GenAI solutions.
Experience Profile
Overall experience: 46 years
Core engineering background: Java / Node.js / Python / .NET
GenAI experience: 12 years of hands-on, production-level experience
Location - Bangalore
Key Responsibilities
GenAI Solution Development
Build and deploy GenAI-powered features within real-world products.
Design and implement RAG pipelines, including:w
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.