Tech Lead - GenAI (VectorDB and PostgreSQL)

HCL Technologies Limited; Hyderabad, Chennai, Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

HCL Technologies Limited is seeking a Technical Lead GenAi to architect and drive GenAI solutions across PAN India. The role emphasizes Python, RAG, LLMs, and agentic AI development, with worfklows spanning RESTful APIs and microservices.

The candidate should bring strong knowledge in Azure AI Foundry and Azure OpenAI Services, plus experience with vector databases and AI orchestration tools. Prior AI solution design experience is valued.

Qualifications

• Proficiency in Python programming.
• Experience with Agentic AI development and RAG.
• Knowledge of Large Language Models (LLMs) and Azure AI services.
• Familiarity with vector databases and AI orchestration frameworks.

Responsibilities

• Lead AI solution design and development efforts across GenAI initiatives.
• Collaborate on architecture involving LLMs, retrieval augmented generation, and AI orchestration tools.
• Guide integration with RESTful services, microservices, and enterprise systems.

Skills

Python

Prompt engineering

Agentic AI development

RAG

LLMs

LangChain

Prompt optimization

Vector databases

RESTful APIs

Microservices

Git

CI/CD

DevOps

Knowledge Graphs

Graph databases

Multi-agent systems

Autonomous workflow design

Education

Bachelor's or Master's in CS/Engineering

Azure AI Engineer Associate certification

Tools

Azure AI Foundry

Azure OpenAI Services

LangGraph

Semantic Kernel

CrewAI

AutoGen

Pinecone

FAISS

Chroma

Azure AI Search

CI/CD tooling

Job description

Role: Technical Lead GenAi

Location: PAN India

Years of Experience: 5-7 yrs

Skill Requirements

Technical Skills

• Proficiency in Python programming
• Experience with Agentic AI development
• Strong understanding of Retrieval-Augmented Generation (RAG)
• Knowledge of Large Language Models (LLMs)
• Familiarity with Azure AI Foundry and Azure OpenAI Services
• Expertise in AI orchestration frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen)
• Prompt engineering and model optimization
• Working with vector databases (Pinecone, FAISS, Chroma, Azure AI Search)
• Integration of RESTful APIs and microservices
• Enterprise application integration
• Git, CI/CD, and DevOps practices

Cloud Skills

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

Must-Have Skills

• PostgreSQL
• Prompt Engineering
• Python
• RESTful API development
• Vector Databases

Educational Background & Certifications

• Bachelors or Masters degree in Computer Science, Engineering, or related field
• Certification in Azure AI Engineer Associate or relevant Azure certifications (preferred)

Professional Experience

• Prior experience in AI solution design and development (experience level flexible; exceptional skills may be considered regardless of years of experience)

Other Requirements (Optional)

• Knowledge of Machine Learning and MLOps concepts
• Experience with Knowledge Graphs and Graph Databases
• Exposure to multi-agent systems and autonomous workflow design.