Job Title

Senior GenAI Engineer

Role Overview

We are looking for a Senior GenAI Engineer with robust 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 robust 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
🏢 Zemoso Technologies
📍 Bengaluru