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 solid 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 (Bengaluru)
🏢 Zemoso Technologies
📍 Bengaluru