Role Overview

We are looking for a hands-on Generative AI Lead to design, develop, and deploy Agentic AI applications and cloud-native solutions. The ideal candidate will have strong expertise in LLMs, RAG, AI agent frameworks, Python backend development, and Microsoft Azure. The role involves leading technical implementation and delivering scalable, secure, and production-ready AI solutions.

Roles & Responsibilities

• Design, develop, and deploy Agentic AI applications and LLM-powered solutions.
• Build AI agents and multi-agent workflows using LangChain and LangGraph.
• Develop and optimize RAG pipelines for document retrieval and contextual response generation.
• Build scalable backend services and REST APIs using Python and FastAPI.
• Integrate LLMs with enterprise applications, databases, APIs, and external tools.
• Deploy and manage AI applications on Microsoft Azure.
• Containerize applications using Docker and manage deployments using Kubernetes.
• Optimize AI applications for performance, scalability, latency, reliability, and cost.
• Conduct code reviews, guide developers, and establish engineering best practices.
• Ensure responsible AI practices, data security, monitoring, and production readiness.

Mandatory Skills

• Agentic AI
• Large Language Models (LLMs)
• Python Programming
• FastAPI Development
• RAG Pipelines
• LangChain / LangGraph
• Microsoft Azure
• Docker Containers
• Kubernetes Orchestration

Preferred Qualifications

• Bachelor's or master's degree in Computer Science, Information Technology, or a related field.
• Experience building and deploying enterprise-grade GenAI applications.
• Knowledge of CI/CD, automated testing, monitoring, MLOps, and LLMOps.
• Experience in technical leadership, solution architecture, or developer mentoring.

Why Join Us?

• Work on cutting-edge Generative AI and Agentic AI solutions.
• Build scalable, cloud-native AI applications for real-world business challenges.
• Work with modern AI frameworks, LLMs, and cloud technologies.
• Take ownership of end-to-end AI development and deployment.
• Grow your technical leadership skills in a rapidly evolving AI ecosystem.

Ideal Candidate Profile

A hands-on technical leader with strong GenAI engineering expertise, capable of designing AI architectures, guiding engineering teams, and delivering secure, scalable, production-ready AI applications.

Interested candidates can apply with an updated resume highlighting their experience in Agentic AI, LLMs, RAG, Python, and Azure-based deployments.