Senior GenAI Engineer

Location -  Bangalore (Hybrid)

Notice Period - upto 30days max.

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: 4–6 years

Core engineering background: Java / Node.js / Python / .NET

GenAI experience: 1–2 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.