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AWS Bedrock AgentCore Engineer

  • Source: LinkedIn
  • Optimum Solutions Pte Ltd
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Company Description Optimum Solutions is an enterprise Digital & IT solutions and services company that enables digital transformation for organizations seeking agility, efficiency, and innovation. Headquartered in Singapore, the company partners with clients across industries to deliver scalable, secure, and modern technology solutions. Optimum Solutions has more than 4,500 professionals located in offices and global delivery centers across 9 countries. Team members work in diverse, multicultural environments with opportunities to collaborate on regional and global projects. The organization emphasizes continuous learning, technical excellence, and long-term career growth.

JOB DESCRIPTION:

Job role: AWS Bedrock AgentCore Engineer

Location: Bangalore/Hyderabad

We are seeking an experienced AWS Bedrock AgentCore Engineer to design, develop, deploy, and optimize enterprise-grade AI agents using Amazon Bedrock AgentCore. The ideal candidate should have expertise in Generative AI, LLMs, Agentic AI frameworks, AWS cloud services, and production deployment of AI-powered applications. Amazon Bedrock AgentCore enables organizations to build, deploy, secure, and scale AI agents using any framework and model.

Key Responsibilities

  • Design and develop AI agents using Amazon Bedrock AgentCore .
  • Build agentic workflows using frameworks such as:
  • LangGraph
  • CrewAI
  • LlamaIndex
  • Strands Agents
  • Integrate foundation models including:
  • Amazon Nova
  • Anthropic Claude
  • OpenAI GPT
  • Google Gemini
  • Meta Llama
  • Implement:
  • AgentCore Runtime
  • AgentCore Memory
  • AgentCore Gateway
  • AgentCore Identity
  • AgentCore Observability
  • Develop secure integrations with APIs, databases, enterprise applications, and MCP tools.
  • Create RAG-based solutions using vector databases and knowledge bases.
  • Monitor, debug, and optimize agent performance.
  • Implement security, governance, authentication, and authorization controls.
  • Deploy and manage solutions using AWS services and CI/CD pipelines. [docs.aws.amazon.com], [aws.github.io]

Required Skills

AWS & Cloud

  • Amazon Bedrock
  • Bedrock AgentCore
  • AWS Lambda
  • API Gateway
  • IAM
  • S3
  • CloudWatch
  • ECS/EKS
  • Step Functions

AI/ML & GenAI

  • LLMs
  • Prompt Engineering
  • RAG Architecture
  • Agentic AI
  • Vector Databases
  • Fine-tuning concepts
  • AI Evaluation & Observability

Programming

  • Python (Mandatory)
  • FastAPI / Flask
  • REST APIs
  • JSON/YAML

Agent Frameworks

  • LangGraph
  • CrewAI
  • LlamaIndex
  • OpenAI Agents SDK
  • Strands Agents

DevOps

  • Docker
  • Kubernetes
  • GitHub Actions / Jenkins
  • Terraform (Preferred)

Preferred Qualifications

  • Hands-on experience with Amazon Bedrock AgentCore deployments.
  • Experience building production-grade AI agents.
  • Knowledge of MCP (Model Context Protocol).
  • Understanding of agent memory, tool calling, and multi-agent systems.
  • AWS Certifications (Preferred):
  • AWS Certified Solutions Architect
  • AWS Machine Learning Engineer
  • AWS AI Practitioner

Nice to Have

  • GenAI project delivery experience.
  • Conversational AI / Chatbot implementation.
  • Vector stores such as OpenSearch, Pinecone, Weaviate, or Chroma.
  • Knowledge of Agent Observability and AI Governance

Skills

  • amazon-web-services
  • bedrock
  • LangGraph
  • crewai
  • LlamaIndex
  • Gemini
  • llama
  • Github
  • aws-lambda
  • amazon-cloudwatch
  • amazon-ecs
  • Python
  • FastAPI
  • Flask
  • JSON
  • yaml
  • Docker
  • Kubernetes
  • github-actions
  • Jenkins
  • Terraform
  • amazon-machine-learning
  • opensearch
  • chroma
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