Junior Full Stack AI Engineer

Ship production AI agents on Amazon Bedrock, the AWS infrastructure they run on, and the Next.js experiences people use, early in your full-stack AI career.

• Design and implement sophisticated AI agents using Amazon Bedrock, including supervisor-collaborator patterns and custom action groups
• Build and deploy Model Context Protocol (MCP) servers on ECS Fargate for extensible AI tool integration
• Author AWS CDK stacks in Python to deploy production-grade infrastructure (Lambda, ECS, ALB, DynamoDB, Step Functions, S3, VPC)
• Develop responsive, data-rich frontend experiences using Next.js, React, Type Script, and Ant Design
• Implement persistent agent memory systems with per-user isolation and graph-based knowledge representation
• Integrate MITRE ATT&CK, ATLAS, and D3
  
  FEND frameworks into AI agents for cybersecurity applications
• Build event-driven architectures with AWS Step Functions, Lambda, and real-time data processing
• Create GraphQL APIs with Apollo and RESTful Lambda functions with proper auth, validation, and error handling

• 3+ years of full-stack development experience with production systems
• 1+ years working extensively with AWS services and cloud architecture
• Strong Python skills:
  Writing clean, maintainable Python with type hints, docstrings, and proper error handling
• Proficient with React, Next.js, and modern frontend patterns
• Experience with AWS CDK, Terraform, or Cloud Formation
• Hands-on experience with LLM APIs (Anthropic, AWS Bedrock, or similar)
• Understanding of AI agent patterns:
  Tool use, prompt engineering, multi-turn conversations
• Experience deploying and monitoring AI/ML applications at scale
• Deep AWS expertise:
  Lambda, ECS Fargate, VPC, ALB, S3, EFS, DynamoDB, Step Functions
• Git proficiency, testing experience (pytest, Jest, Playwright), and security mindset