Artificial Intelligence Engineer

Itradiant Solutions; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Itradiant Solutions seeks an AI/LLM engineer to design, build, and deploy AI-powered applications such as chatbots, knowledge assistants, and document AI. You will integrate multiple providers (Azure OpenAI, OpenAI, Anthropic Claude, Gemini, Bedrock) and create RAG pipelines and agentic workflows using LangChain and friends.

You will develop scalable FastAPI backends, deploy on Azure/AWS, and manage vector searches with Pinecone, Weaviate, or similar.

Qualifications

• 2–4 years hands-on experience building and shipping AI/LLM solutions in production.
• Strong Python expertise with FastAPI, async programming, and REST API development.
• Hands-on experience with at least two LLM providers: Azure OpenAI, OpenAI, Anthropic Claude, Gemini, or Bedrock.
• Practical knowledge of RAG, prompt engineering, function calling, structured outputs, and AI agents.
• Experience with LLM frameworks LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen.
• Proficiency in vector databases such as Azure AI Search, pgvector, Pinecone, Qdrant, or Weaviate.
• Azure experience: Azure OpenAI, AI Foundry, AI Search, Document Intelligence, Functions, App Service, Key Vault, Blob Storage.
• AWS experience: Bedrock, ECS/EKS, Lambda, S3, RDS, API Gateway, CloudWatch, IAM.
• Hands-on with Docker, Kubernetes, and CI/CD pipelines.
• Must have independently built at least 3 of: AI Chatbot, Knowledge Assistant, Document AI/OCR, Email Automation, Ticket Classification, AI Copilot, AI Search, Workflow Automation, AI Agent, or Multi-Agent System.

Responsibilities

• Design, build, and deploy AI/LLM-powered applications including chatbots, knowledge assistants, document AI, and multi-agent systems.
• Integrate with LLM providers such as Azure OpenAI, OpenAI, Anthropic Claude, Gemini, and Amazon Bedrock.
• Develop RAG pipelines, AI agents, and agentic workflows using LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Build scalable Python backends using FastAPI with async programming and REST API design.
• Deploy and manage applications on Azure and AWS cloud infrastructure.
• Work with vector databases and implement semantic search and retrieval solutions.
• Set up and maintain CI/CD pipelines using GitHub Actions or Azure DevOps.
• Collaborate with cross-functional teams to translate business requirements into AI solutions.

Skills

Python

FastAPI

Async programming

REST API

Azure OpenAI

OpenAI

Anthropic Claude

Gemini

Amazon Bedrock

RAG

Prompt engineering

Function calling

Structured outputs

AI agents

LangChain

LangGraph

LlamaIndex

Semantic Kernel

CrewAI

AutoGen

Vector databases

Azure AI Search

pgvector

Pinecone

Qdrant

Weaviate

Azure services

AWS services

Docker

Kubernetes

CI/CD

GitHub Actions

Azure DevOps

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

CrewAI

AutoGen

Docker

Kubernetes

GitHub Actions

Azure DevOps

Job description

Roles & Responsibilities:

• Design, build, and deploy AI/LLM-powered applications including chatbots, knowledge assistants, document AI, and multi-agent systems
• Integrate with LLM providers such as Azure OpenAI, OpenAI, Anthropic Claude, Google Gemini, and Amazon Bedrock
• Develop RAG pipelines, AI agents, and agentic workflows using LangChain, LangGraph, LlamaIndex, or similar frameworks
• Build scalable Python backends using FastAPI with async programming and REST API design
• Deploy and manage applications on Azure and AWS cloud infrastructure
• Work with vector databases and implement semantic search and retrieval solutions
• Set up and maintain CI/CD pipelines using GitHub Actions or Azure DevOps
• Collaborate with cross-functional teams to translate business requirements into AI solutions

Candidate Profile:

• 2-4 years of hands-on experience building and shipping AI/LLM solutions in production
• Strong Python expertise with FastAPI, async programming, and REST API development
• Hands-on experience with at least two LLM providers Azure OpenAI, OpenAI, Anthropic Claude, Gemini, or Amazon Bedrock
• Practical knowledge of RAG, prompt engineering, function calling, structured outputs, and AI agents
• Experience with LLM frameworks LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen
• Proficiency in vector databases such as Azure AI Search, pgvector, Pinecone, Qdrant, or Weaviate
• Azure experience: Azure OpenAI, AI Foundry, AI Search, Document Intelligence, Functions, App Service, Key Vault, Blob Storage
• AWS experience: Bedrock, ECS/EKS, Lambda, S3, RDS, API Gateway, CloudWatch, IAM
• Hands-on with Docker, Kubernetes, and CI/CD pipelines
• Must have independently built at least 3 of the following: AI Chatbot, Knowledge Assistant, Document AI/OCR, Email Automation, Ticket Classification, AI Copilot, AI Search, Workflow Automation, AI Agent, or Multi-Agent System

Good to Have:

• SAP integration experience
• Microsoft Copilot Studio or Power Platform
• Hugging Face, Ollama, or NVIDIA NIM
• MLflow, LangSmith, or Langfuse for AI observability
• Knowledge of AI security and governance practices
• Terraform for infrastructure as code