Lead AI Engineer

Infotel It Consulting; Chennai District; On-site; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Cutting-edge AI projects

Agentic AI exposure

Fast-paced innovation

Career growth

Job summary

Infotel It Consulting in Chennai invites a hands-on AI Engineer to design, develop, and deploy production-grade Generative AI applications and intelligent agents. The role emphasizes Python engineering, LLMs, and building RAG pipelines with vector stores and cloud AI platforms.

You will work on enterprise AI solutions including conversational AI, document intelligence, agentic workflows, and knowledge assistants.

Qualifications

• Hands-on Python engineering with LLMs and generative AI applications.
• Experience designing and deploying production AI systems.
• Proficiency in building RAG pipelines, AI agents, and orchestration.

Responsibilities

• Design and develop enterprise‑grade Generative AI applications.
• Build scalable RAG pipelines for retrieval augmented generation.
• Develop AI agents and multi‑agent workflows using orchestration frameworks.
• Integrate LLMs with enterprise systems, APIs, and databases.
• Implement prompt engineering, evaluation, and AI safety guardrails.
• Build conversational AI with memory and context management.
• Work with vector databases for semantic retrieval and knowledge search.
• Develop REST APIs and backend services for AI apps.
• Optimize latency, cost, scalability, and reliability.
• Collaborate with frontend, DevOps, and business teams for production deployment.
• Participate in architecture discussions and AI innovation.

Skills

Python

LLMs

Generative AI

RAG pipelines

AI agents

Prompt engineering

Conversations AI

Tool calling

Workflow orchestration

Education

Bachelors or Masters in CS/AI

Tools

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

OpenAI SDK

Anthropic SDK

Job description

Description

AI Engineer Generative AI / Agentic AI

Location:** Ramanujam IT City, Tharamani,Chennai, India

Experience:**8 to 15 Years

Employment Type:** Full-Time

About the Role

We are looking for a hands‑on AI Engineer to design, develop, and deploy production‑grade Generative AI applications and intelligent AI agents. The ideal candidate should have strong Python engineering skills and practical experience building LLM‑powered systems using RAG pipelines, vector databases, orchestration frameworks and cloud AI platforms.

You will work on enterprise AI solutions including conversational AI, document intelligence, AI copilots, agentic workflows, knowledge assistants and AI automation platforms.

Key Responsibilities

• - Design and develop enterprise‑grade Generative AI applications
• - Build scalable RAG (Retrieval‑Augmented Generation) pipelines
• - Develop AI agents and multi‑agent workflows using modern orchestration frameworks
• - Integrate LLMs with enterprise systems, APIs, databases and business workflows
• - Implement prompt engineering, evaluation pipelines, guardrails and AI safety mechanisms
• - Build conversational AI systems with memory and context management
• - Work with vector databases for semantic retrieval and knowledge search
• - Develop REST APIs and backend services for AI applications
• - Optimize latency, cost, scalability, and reliability of AI systems
• - Collaborate with frontend, DevOps, and business teams for production deployment
• - Participate in architecture discussions and AI innovation initiatives

Required Skills

Core AI / GenAI Skills

• - Strong hands‑on experience with Python
• - Experience with LLMs and Generative AI applications
• - Practical implementation experience in:
  • - RAG pipelines
  • - AI agents / Agentic AI
  • - Prompt engineering
  • - Conversational AI
  • - Tool calling and workflow orchestration

Frameworks & Libraries

Experience in one or more:

• - LangChain
• - LangGraph
• - LlamaIndex
• - CrewAI
• - AutoGen
• - OpenAI SDK / Anthropic SDK

Vector Databases

Experience with:

• - ChromaDB
• - Pinecone
• - FAISS
• - Weaviate
• - Milvus

Backend & APIs

• - FastAPI / Flask
• - REST APIs
• - Async programming
• - Webhooks and integrations

Cloud & Deployment

Experience in one or more:

• - AWS Bedrock
• - Azure OpenAI
• - Google Vertex AI
• - OpenAI APIs
• - AWS / Azure / GCP

Additional Preferred Skills

• - Docker & Kubernetes
• - CI/CD pipelines
• - Monitoring & observability
• - PostgreSQL / DynamoDB / MongoDB
• - Knowledge Graphs / GraphRAG
• - Multimodal AI systems
• - AI evaluation frameworks
• - MCP / AI tool ecosystem

Qualifications

• - Bachelors or Master's degree in Computer Science, AI, Data Science, or related field
• - 3+ years of software engineering experience
• - Minimum 1-2 years of hands‑on GenAI project implementation experience
• - Experience building production AI applications preferred

Good to Have

• - Experience with enterprise AI governance and responsible AI
• - Exposure to fine‑tuning and model optimization
• - Open‑source contributions or AI portfolio projects
• - Experience in scalable distributed systems

What We Offer

• - Opportunity to work on cutting‑edge enterprise AI solutions
• - Exposure to Agentic AI and next‑generation AI architectures
• - Fast‑paced innovation environment
• - Career growth in one of the fastest‑growing technology domains