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Sr. GenAI Engineer

Zemoso Technologies · Bengaluru, Karnataka, India

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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 strong core engineering foundations andhands-on experience building and deploying GenAI solutions. This role is execution- andownership-focused — responsible for delivering GenAI features end-to-end (backend +frontend), working with agentic AI workflows, and mentoring junior engineers while handlingambiguous requirements.This position is part of our GenAI hiring phase, where we prioritize strong full-stack/backendengineers 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)● 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)● 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-drivenfeatures 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 agenticsystems (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 frontendimplementations.● Collaborate closely with backend, frontend, data, and product teams.Must-Have Skills ● Strong engineering experience in Python (Django / FastAPI)● 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.