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Generative AI Engineer (NP upto 30 days or serving NP)

  • Source: LinkedIn
  • ADP
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

GenAI Developer – Job Description:

Key Responsibilities & Requirements:

  • 3-8 years of software development experience with hands-on expertise in Generative AI, Agentic AI, Machine Learning, or AI-powered application development .
  • Strong understanding of Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, Multi-Agent Systems, and Conversational AI solutions .
  • Proficiency in Python and experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar Agentic AI frameworks .
  • Hands-on experience with Amazon Bedrock, OpenAI/Azure OpenAI services , embeddings, vector databases, and LLM orchestration platforms.
  • Experience designing and developing Agentic AI solutions , including autonomous workflows, tool calling, task planning, memory management, and multi-agent collaboration.
  • Strong knowledge of AWS services , including Amazon Bedrock, Lambda, S3, API Gateway, ECS/EKS, DynamoDB, CloudWatch, IAM, and Step Functions .
  • Experience building and deploying scalable, secure, and production-grade GenAI and Agentic AI applications on AWS .
  • Familiarity with vector databases such as Pinecone, FAISS, Chroma, OpenSearch, or similar technologies .
  • Strong understanding of REST APIs, Microservices, CI/CD pipelines, Git, Docker, and cloud-native development practices .
  • Ability to work closely with business stakeholders and cross-functional teams to identify use cases and deliver AI-driven solutions.
  • Excellent analytical, problem-solving, and communication skills with a passion for innovation and emerging AI technologies.

Preferred Skills:

  • Experience implementing enterprise-scale RAG pipelines, AI Agents, Multi-Agent architectures, and workflow automation solutions .
  • Exposure to LLMOps, model evaluation, prompt optimization, monitoring, governance, and Responsible AI practices .
  • AWS Certifications (Developer Associate, Solutions Architect, AI Practitioner) are a plus.

Skills

  • Python
  • LangChain
  • LangGraph
  • LlamaIndex
  • crewai
  • bedrock
  • openai
  • microsoft-azure
  • amazon-web-services
  • aws-lambda
  • amazon-s3
  • amazon-api-gateway
  • amazon-ecs
  • amazon-eks
  • amazon-dynamodb
  • amazon-cloudwatch
  • aws-iam
  • aws-step-functions
  • FAISS
  • chroma
  • opensearch
  • Docker

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