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Artificial Intelligence Engineer



Job description

Position Overview

We are seeking an experienced Senior Developer to join our team and lead the development of production‑ready AI agents using Amazon Bedrock AgentCore .

This role requires expertise in building scalable, secure, agentic AI systems that can operate autonomously across enterprise environments.


Key Responsibilities

  • Design, develop, and deploy AI agents using the Amazon Bedrock AgentCore platform
  • Build multi‑agent workflows with agent‑to‑agent (A2A) communication capabilities
  • Integrate agents with enterprise systems using Model Context Protocol (MCP) and OAuth‑enabled services
  • Develop custom tools and integrations through AgentCore Gateway (AWS services, third‑party APIs, Lambda functions)
  • Optimize agent performance, token usage, and cost efficiency
  • Collaborate with security and compliance teams to implement policy controls and governance


Required Skills & Experience

Core Technical Skills

  • Programming Languages: Strong proficiency in Python
  • AI/ML Frameworks: Experience with LangChain, LangGraph, CrewAI, Strands Agents , or similar agentic frameworks
  • Cloud Platform: Hands‑on experience with AWS services
  • Model Context Protocol (MCP):
  • Deep understanding of MCP architecture
  • Experience building and consuming MCP servers and clients
  • Ability to implement standardized tool access and agent‑to‑tool communication


Agentic AI Development

  • Proven experience building and deploying production AI agents
  • Understanding of agent orchestration , tool calling, and multi‑step reasoning
  • Experience with prompt engineering and LLM optimization
  • Knowledge of vector databases and memory systems for context retention
  • Familiarity with agent evaluation and quality monitoring
  • Hands‑on experience developing MCP servers to expose tools and resources
  • Experience building MCP clients to consume external MCP servers
  • Strong understanding of MCP specifications , transport layers, and tool schemas


Amazon Bedrock AgentCore (Nice to Have)

  • Experience with AgentCore Runtime for serverless agent deployment
  • Knowledge of AgentCore Memory for short‑term and long‑term context
  • Understanding of AgentCore Gateway for tool integration
  • Experience with AgentCore Identity for OAuth and credential workflows
  • Familiarity with AgentCore Observability


Technical Environment

  • Languages: Python, Java
  • Frameworks: LangChain, LangGraph, CrewAI, Strands Agents
  • Cloud: AWS (Bedrock, Lambda, S3, DynamoDB, VPC, CloudWatch)
  • Protocols: MCP (Model Context Protocol), A2A (Agent‑to‑Agent), OAuth 2.0


Required Skill Profession

Other General



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