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: 4–6 years
- Core engineering background: Java / Node.js / Python / .NET
- GenAI experience: 1–2 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

- Solid 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.

📌 Artificial Intelligence Engineer (Bengaluru)
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📍 Bengaluru