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