Sr. GenAI Engineer

Zemoso Technologies; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Zemoso Technologies in Bangalore is seeking a Senior GenAI Engineer to lead the development and deployment of GenAI solutions with strong backend and frontend foundations. You will apply agentic AI workflows and ship production-grade features, collaborating with product and data teams.

You will own end-to-end GenAI initiatives, including RAG pipelines, API integrations, and React frontends, while mentoring juniors and ensuring reliable, scalable design.

Qualifications

• Strong engineering background in Python (Django / FastAPI).
• 2–3+ years of GenAI production experience.
• Experience with agentic AI and tool calling/orchestration.
• Solid understanding of API design and backend integrations.
• Ability to reason about trade-offs in performance, cost and reliability.

Responsibilities

• Build and deploy GenAI-powered features in real-world products (backend).
• Design and implement RAG pipelines and integrate GenAI with backend systems via APIs.
• Build responsive GenAI-integrated UI/UX components in React for end users.
• Own GenAI solutions end-to-end across backend, frontend and AI layers.
• Mentor junior engineers and review GenAI-related code and designs.

Skills

Python Django FastAPI

GenAI production

Agentic AI

API design

Performance trade-offs

Job description

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

frontend), working with agentic AI workflows, and mentoring junior engineers while handling

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)

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:
• 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:
• 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:
  • 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).
• 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)
• Hands-on experience building GenAI applications in production.
• Experience with:
  • 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.