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 robust 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:
3-4+ years of hands-on, production-level experience, including Agentic AI
• Core stack: Python/Django, with React/Svelte on the front end.
• GCP/Azure is the primary cloud platform , it's nice to have.
•

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, and 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 and 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, and 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
• Core stack: Python/Django, with React/Svelte on the front end.
• GCP/Azure is the primary cloud platform , it's nice to have.
• 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, and 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
• Azure is good to have, as some requirements may involve Azure depending on the project.
• Familiarity with evaluation frameworks for GenAI.
• Exposure to cloud-native deployments.
• Experience mentoring junior engineers

📌 Senior GenAI Engineer (Bengaluru)
🏢 Zemoso Technologies
📍 Bengaluru