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AI Engineer

  • Source: Naukri
  • Itradiant Solutions
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

;Our Business

;Life @ ITRadiant

;Services

;Industries

;Products

;Technologies
;AI Engineer

; Job Type: Full Time

; Job Location: Hyderabad

; 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

; Required Skills:

  • ; 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

    ;Lets Connect To Discuss

;Delivering new solutions. Bringing smiles to customers faces daily.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Skills

  • document-ai
  • microsoft-azure
  • claude-by-anthropic
  • Gemini
  • bedrock
  • LangChain
  • LangGraph
  • LlamaIndex
  • Python
  • FastAPI
  • amazon-web-services
  • Github
  • github-actions
  • azure-devops
  • crewai
  • azure-search
  • qdrant
  • azure-functions
  • azure-app-service
  • azure-key-vault
  • vault
  • azure-storage
  • amazon-ecs
  • amazon-eks
  • aws-lambda
  • amazon-s3
  • amazon-rds-for-mysql
  • amazon-api-gateway
  • amazon-cloudwatch
  • aws-iam
  • Docker
  • Kubernetes
  • sap
  • microsoft-power-platform
  • hugging-face
  • nvidia
  • nim
  • ml-flow
  • mlflow
  • Terraform

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