Senior GenAI Engineer

●

Overall experience

5–8 years

●

Location

Bangalore (or willing to relocate to Bangalore)

Role Overview We are looking for a Senior GenAI Engineer with robust 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 ● Strong 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 (Vasanthanagar)
🏢 Zemoso Technologies
📍 Vasanthanagar