TIAG

Senior AI-ML Integration Software Engineer

Reston, VA, US$150,000-$175,000Posted 2 months ago

Job Description

TIAG is now hiring a full-stack Senior AI/ML Software Engineer to join our team in support of an exciting Department of War human performance platform product support initiative. The position will require a government security clearance to be processed, so US or Naturalized Citizenship is a requirement for consideration.

In this role, the Senior Engineer will leverage expertise in cloud-native solutions and modern web architectures to lead the integration of cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) capabilities into our product suite.

The ideal candidate will combine strong traditional software engineering foundations (such as the PHP ecosystem, legacy/modern JavaScript frameworks, and robust CI/CD practices) with hands-on experience deploying generative AI models and intelligent orchestration workflows. This role is primarily focused on AI/ML integration and supporting backend software development, though full stack development experience is preferred.

Key Responsibilities

AI/ML & Cloud Integration

  • Architect and deploy intelligent features using Cloud AI services, with a strong focus on building generative AI workflows, retrieval-augmented generation (RAG), and agentic pipelines.
  • Develop serverless backends (e.g., AWS Lambda, API Gateway) and microservices that interface seamlessly with foundational machine learning models.
  • Optimize data ingestion pipelines and database queries (SQL and NoSQL) to support context-rich AI prompts and high-performance inference.

DevOps & Architecture

  • Set up, maintain, and secure automated CI/CD pipelines using Jenkins CI or similar cloud-native tooling to support continuous deployment of both software and ML integrations.
  • Define technical requirements, break down tasks for complex engineering projects, and mentor junior developers on enterprise best practices.
  • Consolidate legacy processes and automate critical workflows to drastically reduce manual business worklo

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