zemoso technologies
Website:
zemosolabs.com
Job details:
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 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.
Click on Apply to know more.
