AI Back-End Developer

Quick Facts

• Role: AI Back-End Developer
• Level: Mid/Senior
• Clearance: Active Secret
• Work model: Fully remote; must align with Eastern Time zone core business hours
• Travel: 0–10%

Description

Build secure, scalable Python backend services and RESTful APIs for an AI-enabled enterprise application in AWS GovCloud (IL4/IL5). Design the application layer connecting the front end, enterprise systems, relational databases, and approved AI/RAG capabilities—integrating Amazon Bedrock via Boto3.

Responsibilities

• Develop and maintain production-grade Python backend services and RESTful APIs (FastAPI/Flask/Django or similar)
• Design secure API contracts including schemas, documentation, validation, authentication/authorization, error handling, and versioning
• Implement business logic, workflows, asynchronous processing, and integrations with enterprise systems, databases, and AI/RAG services
• Integrate approved Amazon Bedrock capabilities using Boto3 and defined AI service interfaces
• Support streamed AI responses with retries, timeouts, logging, auditing, and error-recovery mechanisms
• Design and optimize PostgreSQL (or equivalent) relational database models, queries, transactions, and data-access patterns
• Implement Zero Trust-aligned security, including DoD/DoW ICAM integration, least-privilege access, encryption, secrets management, and audit logging
• Develop and remediate application components to meet STIG/SRG requirements and support security assessment and authorization activities
• Contribute to DevSecOps practices: Git, CI/CD, automated testing, containerized delivery, vulnerability remediation, and application monitoring
• Develop and maintain React and TypeScript-based UI components and workflows as needed to support AI-enabled user experiences
• Use approved AI-assisted or agentic coding tools and specification-driven development while maintaining accountability for architecture, security, code review, testing, and production readiness
• Collaborate with front-end, AI/ML, platform, cybersecurity, and identity teams

Benefits

• Competitive medical, dental, and vision plan options
• Wellness resources and employee assistance programs
• 401(k) savings plan options and life insurance; financial planning tools
• Paid holidays and paid time off
• Tuition reimbursement; early childhood and post-secondary education scholarships
• Employee discounts
• Occasionally: bonus/other non-recurrent compensation (as applicable)