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

Valuable 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

📌 Artificial Intelligence Engineer (Hyderabad)
🏢 ITRadiant Solutions
📍 Hyderabad