Senior Gen AI Engineer

Role Summary

Full-Stack AI Engineer

builder

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

  .