GENAI Developer with AWS Bedrock

Brace Infotech Private Limited
Hyderabad, Telangana, India
  • 5+ years of software development experience with strong hands-on expertise in Python.
  • Strong hands-on experience in Generative AI and LLM application development.
  • Strong hands-on experience with Amazon Bedrock and foundation models.
  • Hands-on experience with RAG (Retrieval-Augmented Generation) architecture.
  • Experience with Prompt Engineering and prompt optimization.
  • Experience with embeddings, vector databases, semantic search, and vector search.
  • Experience developing AI Agents / Agentic AI solutions using Amazon Bedrock.
  • Experience with Amazon Bedrock Knowledge Bases, Agents, and Guardrails.
  • Experience with LangChain, LlamaIndex, LangGraph, or equivalent GenAI frameworks.
  • Experience integrating GenAI applications with REST APIs, enterprise applications, databases, and document repositories.
  • Strong knowledge of AWS services, including S3, Lambda, API Gateway, IAM, CloudWatch, and OpenSearch.
  • Strong SQL and data-processing skills.
  • Experience with Git, CI/CD, Docker, and AWS cloud deployment.
  • 5+ years of software development experience, with strong Python expertise.
  • Proven hands-on experience building and deploying production-grade GenAI/LLM applications using Amazon Bedrock.
  • Strong understanding of Bedrock foundation models, model invocation, inference parameters, and prompt-based application development.
  • Hands-on experience building RAG solutions using Bedrock Knowledge Bases, embeddings, and vector search.
  • Hands-on experience developing Bedrock Agents / Agentic AI solutions and integrating agents with enterprise tools and APIs.
  • Strong understanding of Prompt Engineering, LLM evaluation, hallucination reduction, and response optimization.
  • Experience implementing Bedrock Guardrails and AI safety controls.
  • Strong experience with AWS cloud architecture and services required for GenAI solutions.
  • Experience with API integration, databases, document repositories, and enterprise systems.
  • Understanding of AI security, including prompt injection, data leakage prevention, IAM, authentication, authorization, and secure API integration.
  • Experience with LLM observability, application monitoring, logging, performance optimization, and token/cost management.
  • Ability to design and develop scalable, secure, reliable, and production-ready GenAI solutions.

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This is based in Hyderabad, Telangana.

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