Tech Lead-GenAI - VectorDBand PostgreSQL

Job Summary

We are seeking a highly skilled Technical Consultant – AI Integration to design, develop, and implement enterprise-grade AI solutions leveraging Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Azure AI Foundry, and AI Orchestration Frameworks. The ideal candidate will be responsible for integrating AI capabilities into business applications, building intelligent agents, and delivering scalable, secure, and production-ready AI solutions.

Key Responsibilities

• Design and develop AI-powered solutions using Python and modern AI frameworks.
• Build and deploy Agentic AI applications capable of autonomous reasoning, planning, and task execution.
• Develop and optimize RAG (Retrieval-Augmented Generation) architectures using vector databases and enterprise knowledge sources.
• Integrate and customize Large Language Models (LLMs) for business use cases.
• Utilize Azure AI Foundry to develop, deploy, monitor, and govern AI applications.
• Implement AI orchestration workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies.
• Create and manage prompt engineering strategies and model optimization techniques.
• Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms.
• Ensure AI solutions meet security, compliance, scalability, and performance requirements.
• Collaborate with business stakeholders to identify opportunities for AI-driven automation and innovation.
• Conduct technical workshops, solution demonstrations, and architecture reviews.
• Provide production support and continuous improvement for deployed AI solutions.

Skill Requirements

Primary Skills

• Python
• Agentic AI Development
• Retrieval-Augmented Generation (RAG)
• Large Language Models (LLMs)
• Azure AI Foundry
• AI Orchestration Frameworks

Technical Skills

• Prompt Engineering
• Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search)
• LangChain / LangGraph
• Semantic Kernel
• CrewAI / AutoGen
• REST APIs and Microservices
• Azure OpenAI Services
• Enterprise Application Integration
• Git, CI/CD, DevOps Practices

Cloud Skills

• Microsoft Azure
• Azure AI Foundry
• Azure AI Search
• Azure Functions
• Azure Storage Services
• Azure Kubernetes Service (AKS)

Other Requirements

• Knowledge of Machine Learning and MLOps concepts.
• Experience with Knowledge Graphs and Graph Databases.
• Exposure to multi-agent systems and autonomous workflow design.
• Certification in Azure AI Engineer Associate or related Azure certifications.