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 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.

- 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 :

1. Embeddings.

2. Vector databases.

3. 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 :

1. Chunking strategies.

2. 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 :

1. Multi-step reasoning flows.

2. 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 :

1. RAG pipelines.

2. Vector databases.

3. LLM APIs.

4. 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.