Senior Gen AI Engineer

2 weeks ago

Gurgaon, Haryana, India HUB Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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 / / Express) to integrate GenAI features into applications.
  • Develop 
    frontend components , 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
     , , Python).
  • Hands-on experience with 
    Azure AI (OpenAI, Cognitive Search, Azure ML)
    .

Technical Skills:

  • Frontend:
     , TypeScript, Tailwind (or similar).
  • Backend:
     Python (FastAPI, Flask),
  • 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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