AI Application Engineer

Job Description

Job Description

This is a remote position.

Role Summary

The AI Application Engineer builds the prototypes, services, workflows, and integrations that bring generative AI use cases to life on AWS. This is a hands-on role: the engineer pairs directly with the customers developers in joint build sessions, turning designs into working software

while transferring knowledge so the customer's team becomes self-sufficient. The work spans Bedrock applications and agents, enterprise integrations, MCP-based tooling, and spec-driven development.

Key Responsibilities

• 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/Exchange,Teams, OneDrive) and delivery/observability tools such as ServiceNow, Jira, GitHub,Dynatrace, 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 architect's designs.
  
• Write clean, tested, documented code following reusable development standards, and contribute reusable templates and playbook material.
  

Required Qualifications

• Strong software engineering skills in a common language such as Python,TypeScript/Node.js, 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 customer's developers in a collaborative, pairing-oriented way and contribute to knowledge transfer.
  
• Good written and verbal communication.
  

Preferred Qualifications

• 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.
  

Location & Travel

• 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.
  

Experience Level

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