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Serry Systems

Full Stack AI Application Developer

Posted 3 months ago
2-5 years experience
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AI Summary

Develop modern AI-powered applications and integrations using a full-stack approach across front-end, backend, and cloud infrastructure. Ensure the scalability, security, and operational efficiency of AI automation capabilities for federal government clients.

Serry Systems is a dynamic and innovative technology company that specializes in providing cutting-edge solutions to the federal government seeking to leverage Amazon Web Services (AWS) for their cloud infrastructure. We are committed to delivering the highest level of expertise in AWS, helping our clients maximize the benefits of cloud technology. Our team is passionate about creating solutions that drive business success, and we are looking for a talented Full Stack AI Developers to join us.

 

Job Description

The ideal candidate is a strong systems thinker with experience across front-end development, backend services, cloud infrastructure, and emerging AI technologies. This role will support the development of modern AI-powered applications, integrations, and automation capabilities while ensuring scalability, security, and operational efficiency.  


Required 

  • DoD Clearance Required
  • CompTIA Security+ certification Required

Basic Qualifications

  • 3+ years of non-internship professional software development experience
  • Experience building production web applications with TypeScript and a modern React framework (React/Next.js)
  • Experience building and operating backend services or APIs (e.g., FastAPI, Node) that a frontend consumes
  • Experience with real-time or streaming interfaces (Server-Sent Events, WebSockets, or equivalent), including handling reconnection and out-of-order events
  • Experience with automated testing at the unit and end-to-end level (e.g., jest, Playwright) as part of the definition of done
  • Experience diagnosing defects across the stack — from a client-side symptom to the backend route or payload that caused it — using logs and traces as evidence

Preferred Qualifications

  • Experience building interfaces for AI/agentic or other long-running, streaming systems (token-by-token output, tool-call visualization, document classification result rendering, run/trace inspection)
  • Experience with GenAI/LLM integration: prompt engineering workflows, model evaluation dashboards, fine-tuning pipeline UIs
  • Experience deploying applications in AWS GovCloud or classified (IL5/IL6) environments
  • Experience integrating with DoD identity providers and CAC/PIV authentication
  • Experience with client and server state management and optimistic-update patterns
  • Proficiency using AI coding assistants as a daily driver, with the judgment to verify their output against tests and traces before merging
  • Experience with distributed tracing (OpenTelemetry) from the application side
  • Experience with AWS services: Amazon Bedrock, S3, Lambda, Step Functions, CDK
  • Bachelor's degree in Computer Science or equivalent practical experience

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