Senior GenAI Engineer

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Overall experience:

5–8 years

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Location:

Bangalore (or willing to relocate to Bangalore)

Role Overview We are looking for a Senior GenAI Engineer with strong core engineering foundations and hands-on experience building and deploying GenAI solutions. This role is execution- and ownership-focused — responsible for delivering GenAI features end-to-end (backend + frontend), working with agentic AI workflows, and mentoring junior engineers while handling ambiguous requirements. This position is part of our GenAI hiring phase, where we prioritize strong full-stack/backend engineers who have recently built and shipped GenAI and agentic AI solutions in production.

Experience Profile ●

Overall experience:

5–8 years ●

Core engineering background:

Python (Django / FastAPI) + React ●

GenAI experience:

2-3+ years of hands-on, production-level experience, including Agentic AI.

Key Responsibilities

GenAI Solution Development ● Build and deploy GenAI-powered features within real-world products, spanning backend (Python — Django/FastAPI) and frontend (React) layers. ● Design and implement RAG pipelines, including: ○ Embeddings ○ Vector databases ○ Retrieval strategies ● Integrate GenAI capabilities with backend systems via APIs and services.● Build responsive, GenAI-integrated UI/UX components in React to surface AI-driven features to end users.

System & Solution Ownership ● Own GenAI solutions end-to-end, from design to production rollout — across backend, frontend, and AI layers. ● Design RAG architectures and decide:



○ Chunking strategies ○ Retrieval approaches ● Handle ambiguous requirements and convert them into working, shippable 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 (Core Focus) ● Build and own agent-based workflows, including: ○ Multi-step reasoning flows ○ Tool/function calling ○ Orchestrated GenAI interactions ● Work hands-on with agent frameworks to design and deploy production-grade agentic systems (deep research not required, but practical build experience expected).

Mentoring & Collaboration ● Mentor junior engineers working on GenAI components. ● Review GenAI-related code and designs, across both backend and frontend implementations. ● Collaborate closely with backend, frontend, data, and product teams.

Must-Have Skills ● Robust engineering experience in

Python (Django / FastAPI)

and

React . ● Hands-on experience building GenAI applications in production. ● Experience with: ○ RAG pipelines ○ Vector databases ○ LLM APIs ○ Agentic AI (multi-step reasoning, tool/function calling, orchestration) ● 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.

📌 Sr. GenAI Engineer (Mumbai)
🏢 Zemoso Technologies
📍 Mumbai