Senior Gen AI Engineer

2 weeks ago

Delhi, India HUB Full time

Role Summary

We are seeking a

Full-Stack AI Engineer

with strong hands-on experience in

Generative AI, agentic AI systems, and modern web/backend development . This role is perfect for someone who loves to

blend AI capabilities with full-stack engineering , building

end-to-end GenAI-powered applications

that run in production. You’ll work with

Azure AI ecosystem

(Azure OpenAI, Azure ML, Cognitive Services) and

agentic frameworks

(LangChain, LlamaIndex, Hugging Face) while also designing scalable APIs, UIs, and integration layers.
You should think like a

builder —comfortable with both

coding products

and

orchestrating AI agents , not just tweaking ML models.
Key Responsibilities

1. AI Applications & Agentic Systems
Design and develop

GenAI-powered applications

using Azure OpenAI, Azure Cognitive Services, and LangChain/LlamaIndex.
Build

multi-agent architectures

for autonomous reasoning, workflow automation, and integrations with enterprise systems.
Implement

RAG pipelines

with embeddings, vector databases (Azure AI Search, Pinecone, Weaviate), and APIs.
2. Full-Stack Development
Build

backend services and APIs

(Python FastAPI / Node.js / Express) to integrate GenAI features into applications.
Develop

frontend components (React/Next.js, TypeScript)

to deliver user-facing AI-powered experiences.
Apply best practices in

scalable backend systems, event-driven design, and API-first development .
3. Azure Deployment
Deploy and manage AI services on

Azure AI Foundry, Azure Functions, Kubernetes .
Set up

CI/CD pipelines , model/service versioning, and monitoring.
Ensure production systems are

secure, performant, and cost-optimized .
4. Collaboration & Impact
Work closely with

Product & Engineering teams

to translate business use cases into AI-driven features.
Provide

mentorship

to junior engineers on full-stack + GenAI integration.
Stay updated on

LLM frameworks, orchestration tools, and multi-agent systems .
Qualifications & Skills

Experience:
4–7 years

in software engineering, with at least

2 years in Generative AI / LLM applications .
Proven track record in

full-stack development

(React/Next.js, Node.js, Python).
Hands-on experience with

Azure AI (OpenAI, Cognitive Search, Azure ML) .
Technical Skills:
Frontend:

React/Next.js, TypeScript, Tailwind (or similar).
Backend:

Python (FastAPI, Flask), Node.js/Express.
GenAI:

Prompt engineering, embeddings, vector DBs, RAG pipelines, agentic design.
Cloud & Infra:

Azure services, Docker, Kubernetes, CI/CD pipelines.
Soft Skills:
Strong problem-solving with a

product-builder mindset .
Ability to explain GenAI solutions clearly to both technical and business stakeholders.
Comfortable in a

startup culture

(fast-moving, ownership-driven).
Why Join Us?

Work on

cutting-edge agentic AI applications

with real-world impact in fintech & enterprise ops.
Be part of a

fast-growing AI startup

where you own features end-to-end.
Learn and build at the intersection of

GenAI + full-stack development .

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