GEN AI Engineer

ITC Infotech; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

ITC Infotech Bangalore is seeking a Gen AI Lead to guide enterprise AI initiatives. You will design, build, and deploy AI solutions using LLMs, RAG, and agentic AI frameworks, with a focus on scalable production systems.

Lead and mentor teams, establish AI governance and standards, collaborate with business stakeholders, and integrate AI with enterprise data sources. Strong experience in Python, Azure OpenAI, LangChain, embeddings, and tool calling is required.

Qualifications

• Experience leading Gen AI programs in enterprise settings.
• Strong knowledge of LLMs, RAG, and AI agents.
• Proficient in Python and cloud AI services.

Responsibilities

• Lead design, development, and deployment of enterprise-grade Generative AI solutions.
• Architect AI-driven applications with LLMs, RAG, and agentic frameworks.
• Mentor teams and establish AI governance and standards.

Skills

Gen AI

LLMs/OpenAI

Python

Azure OpenAI

Prompt Engineering

RAG

Vector Databases

Embeddings

Fine-Tuning

AI Development

Agentic AI

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

Azure AI Services

Cloud Architecture

Job description

Role & responsibilities

Position Details

Role: Gen AI Lead
Location: Bangalore
Company: ITC Infotech

Work Mode: Hybrid ( 3 Days working from Office)
Employment Type: Full-Time

Key Responsibilities

• Lead the design, development, and deployment of enterprise-grade Generative AI solutions.
• Architect and implement AI-driven applications leveraging LLMs and Agentic AI frameworks.
• Build intelligent workflows using AI agents, orchestration frameworks, and autonomous decision-making capabilities.
• Develop scalable RAG-based solutions and integrate them with enterprise data sources.
• Collaborate with business and technology stakeholders to identify AI opportunities and drive innovation.
• Mentor engineering teams and establish AI best practices, governance, and solution standards.

Required Skills

Generative AI

• LLMs / OpenAI
• Azure OpenAI Service
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases
• Embeddings
• Fine-Tuning
• Python
• AI/ML Development

Agentic AI

• AI Agents and Autonomous Systems
• Tool/Function Calling
• Multi-Step Workflow Design
• Agent Orchestration
• Planning and Decision-Making Frameworks
• Memory and State Management
• Autonomous Task Execution

Frameworks & Technologies

• LangChain / LangGraph
• Semantic Kernel
• AutoGen
• CrewAI
• Azure AI Services
• Cloud-based AI Solution Architecture