AI Application Engineer

This is a remote position.

• Build prototypes and pilot-ready services implementing AI use cases on Amazon Bedrock including RAG and Bedrock Agents.
  
• Develop APIs UI components and workflow integrations connecting AI capabilities to enterprise applications and data sources.
  
• Build document intake classification and extraction workflows using services such as Amazon Textract and Step Functions where relevant.
  
• Configure and integrate MCP (Model Context Protocol) servers and work within Kiro spec-driven development workflows hooks and steering rules.
  
• Implement integrations with the Microsoft 365 ecosystem (SharePoint Outlook/ExchangeTeams OneDrive) and delivery/observability tools such as ServiceNow Jira GitHubDynatrace or Wiz where approved.
  
• Pair with customer developers in joint build sessions demonstrating implementation techniques and helping them become self-sufficient.
  
• Implement guardrails evaluation tests and grounding/citation behavior according to the architects designs.
  
• Write clean tested documented code following reusable development standards and contribute reusable templates and playbook material.
  

• Strong software engineering skills in a common language such as PythonTypeScript/ or Java.
  
• Hands-on experience integrating with LLM or generative AI APIs (Amazon Bedrock preferred) and building RAG or agent-style features.
  
• Working knowledge of core AWS services for compute storage APIs and identity including security fundamentals beyond the AI stack.
  
• Comfort building REST/serverless services integrations and automation.
  
• Experience integrating with enterprise systems via APIs (e.g. Microsoft 365 / Graph ServiceNow Jira GitHub) and handling authentication and access controls.
  
• Ability to work directly with a customers developers in a collaborative pairing-oriented way and contribute to knowledge transfer.
  
• Good written and verbal communication.
  

• Experience with MCP server configuration and with Kiro or other spec-driven development tooling.
  
• Experience with vector databases embeddings and search/retrieval tooling.
  
• Familiarity with CI/CD infrastructure-as-code and testing best practices on AWS.
  
• Exposure to regulated or public-sector environments and responsible-AI / PHI-PII handling.
  
• AWS associate-level certification.
  

• This is a US-only position; candidates must be authorized to work in and based in the United States.
  
• The role is primarily remote but may require travel up to 10% to 15% during the engagement for on-site workshops and customer sessions.
  

• 5 to 10 years experience with at least 2 years of relevant technical stack experience.