Gen AI Engineer

Title: Senior GenAI Engineer

Location: Hybrid

Job Description:

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.

Experience: 4-6 years