Job Title : Senior GenAI Engineer.

Overall Experience : 5 - 8 years.

Location : Bangalore, or candidates ready 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 solid 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.
- Location : Bangalore (or willing to relocate to Bangalore).

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.

3.

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.

📌 ZeMoSo Technologies - Senior Generative AI Engineer - Python/React (India)
🏢 Zemoso Technologies
📍 India