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Digital Links Inc

Senior AI Developer

North America

September 19, 2026 at 5:39 AM

✨ AI summary

Location

  • Washington, DC

Languages

  • Python
  • JavaScript/TypeScript
  • Java
  • C#

Frameworks

  • React
  • Angular
  • Vue
  • Node.js
  • FastAPI
  • Flask
  • Django
  • Spring Boot
  • .NET
  • LangChain
  • LangGraph
  • LlamaIndex
  • Semantic Kernel

Cloud Services

  • FedRAMP-authorized cloud services

Databases

  • Vector databases/stores and semantic search

Experience Level

  • Senior (3+ years of professional software development experience)
Washington DC - 3 days onsite

Position Summary

The Senior AI Developer will lead the design, development, integration, and deployment of secure, scalable, accessible, and maintainable AI-enabled applications and services. The role involves turning approved AI models and data capabilities into production-ready applications, APIs, workflow automations, and human-in-the-loop solutions supporting Federal Government missions.

Key Responsibilities

  • Design and develop full-stack AI applications, APIs, microservices, dashboards, and workflow automations.
  • Integrate LLMs, Generative AI, RAG pipelines, NLP, classification models, document intelligence, predictive analytics, agentic workflows, and MCP-based services.
  • Build AI backend services integrating with vector stores, data platforms, identity providers, enterprise systems, and cloud services.
  • Develop accessible applications meeting Section 508 and WCAG 2.1 Level A/AA requirements.
  • Implement human-in-the-loop capabilities, including review queues, approvals, overrides, escalation workflows, feedback mechanisms, audit trails, and role-based access.
  • Design and implement secure AI solutions, including prompt-injection protection, secure prompt/context handling, output validation, controlled tool use, and audit logging.
  • Develop modular and maintainable code using secure SDLC practices, Git, code reviews, automated testing, and CI/CD.
  • Develop and maintain unit, integration, API, regression, performance, security, and accessibility tests.
  • Support production deployments, monitoring, incident response, troubleshooting, and continuous improvement.
  • Contribute to architecture decisions, technical documentation, deployment procedures, runbooks, and knowledge transfer.
  • Collaborate with software engineers, data scientists, cybersecurity teams, product owners, and other stakeholders in an Agile environment.

Required Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
  • 3+ years of professional software development experience, with significant hands-on experience developing AI-enabled applications.
  • Strong programming experience with Python, JavaScript/TypeScript, Java, C#, or similar languages.
  • Strong experience with REST APIs, databases, Git, automated testing, CI/CD, and modern software-development practices.
  • Hands-on experience with LLMs, Generative AI, RAG, NLP, AI/ML APIs, search, automation, or document intelligence.
  • Experience designing and integrating AI capabilities into production applications.
  • Understanding of application security, secure coding, authentication, authorization, API security, and data protection.
  • Experience working in Agile and cross-functional development environments.

Preferred Qualifications

  • React, Angular, Vue, Node.js, FastAPI, Flask, Django, Spring Boot, or .NET
  • LangChain, LangGraph, LlamaIndex, Semantic Kernel, MCP
  • Vector databases/stores and semantic search
  • Docker, Kubernetes, serverless, Infrastructure as Code, API gateways
  • Section 508 / WCAG accessibility development
  • Federal Government IT or secure DevSecOps environments
  • FedRAMP-authorized cloud services
  • Experience with AI governance, AI security, human oversight, auditability, and responsible AI implementation

If you're open to exploring a senior-level AI opportunity where you can work on real-world Generative AI, LLM, RAG, and AI application development within a Federal Government