AI Engineer - 3+ Years

Infopark; Ernakulam; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Infopark is seeking an experienced AI Engineer with 3+ years to design, develop, integrate, and deploy production-grade AI solutions.

You will work with LLMs, RAG, agentic AI, cloud AI services, and build backend APIs using FastAPI or Flask.

This role emphasizes clean, modular code and integration with cloud platforms like AWS Bedrock, Azure AI Foundry, and OpenAI.

Qualifications

• 3+ years of hands-on AI engineering experience.
• Experience with LLMs, RAG, agentic AI, and AI orchestration frameworks.
• Experience with document ingestion, chunking, embeddings, retrieval, reranking, and context construction.
• Backend APIs using FastAPI/Flask or equivalent.
• Cloud AI platforms experience with AWS Bedrock, Azure AI Foundry, OpenAI, Anthropic APIs.

Skills

Python

AI agents

RAG model

LLMs

LangChain

LangGraph

MCP

PostgreSQL

pgvector

Pinecone

Education

BTech/MTech

Tools

FastAPI

Flask

AWS Bedrock

Azure AI

OpenAI APIs

Anthropic APIs

Pinecone

Job description

AI Engineer - 3+ Years

Experience required: 3+

Notice Period - Immediate to 30 Days

Qualification: BTech/MTech

We are looking for an experienced AI Engineer with 3+ years of hands-on experience to design, develop, integrate, and deploy production-grade AI and Generative AI solutions.

The ideal candidate should have strong practical experience building applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, AI orchestration frameworks, prompt engineering, tool/function calling, and cloud-based AI services. Work with document ingestion, chunking, embeddings, retrieval, reranking, and context construction. Build APIs and backend services using frameworks such as FastAPI, Flask, or equivalent. Write clean, modular, maintainable, and testable code. Integrate AI applications with cloud AI platforms such as, AWS Bedrock, Azure AI / Azure AI Foundry, OpenAI APIs, Anthropic APIs. Experienced in SLM fine tuning is an added advantage.

Mandatory Skills

• Strong Python programming skills for AI framework development.
• Hands-on expertise in building and managing AI agents.
• Practical knowledge of RAG model implementation.
• Understanding of Large Language Models (LLMs) and their applications.
• Experience with LangChain and LangGraph for LLM-based orchestration.
• Familiarity with multi-agent architectures and orchestration techniques.
• Knowledge of Model Context Protocol (MCP) for agent interoperability
• Experienced in PostgreSQL/pgvector, Pinecone or equivalent

Skills Required

• Primary Skills: Python, Machine Learning
• Secondary Skills: Agentic AI, LangGraph