Senior AI-ML Integration Software Engineer

Posted Yesterday
Hiring Remotely in 20190, Reston, VA, USA
In-Office or Remote
150K-175K Annually
Senior level
Information Technology • Security
The Role
Lead integration of AI/ML into a cloud-native human-performance platform: architect generative AI and RAG workflows, build serverless backends and microservices, optimize data pipelines (SQL/NoSQL, embeddings), maintain CI/CD, modernize legacy PHP backends, mentor engineers, and drive architecture and deployment of LLM-based features.
Summary Generated by Built In

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 workloads and cycle times. 

Full-Stack Web Development

  • Incorporate AI-driven features (such as predictive text, intelligent search, automated categorization, or voice interfaces) directly into user-facing web and mobile frontends to improve user experience. 
  • Integrate AI/ML capabilities into existing PHP backend API. 
  • Write and implement software tooling to develop a new build pipeline in parallel with existing legacy tools.
  • Provide thought leadership to architecture, design, and modernization approaches and activities. Contribute to architecture decisions and long-term technical roadmap.
  • Organize work plans, estimate tasks, and deliver finished projects to meet important deadlines.
Qualifications

Core Engineering Requirements

  • Experience: 8–10 years of professional software development experience.
  • Frontend: React, React Native, Polymer, JavaScript, HTML5, CSS3. 
  • Backend & Services: Strong proficiency in PHP 8.x (Symfony) and RESTful APIs, MySQL
  • Cloud & DevOps: Deep familiarity with AWS (EC2, RDS, S3, Lambda, API Gateway, Cognito, DynamoDB), Infrastructure-as-Code tools (Terraform), Git SCM and Jenkins CI. 
  • Security: Familiarity and experience working in secure environments, particularly those constrained by federal and/or Department of War cybersecurity requirements.

AI/ML Requirements & Preferences

  • AI Integration: Demonstrated experience consuming, fine-tuning, or orchestrating Large Language Models (LLMs) within enterprise applications.
  • AWS Bedrock (Preferred): Knowledge of AWS Bedrock is highly preferred, specifically utilizing its API to manage foundation models, implement Guardrails, or build agents.
  • Data Pipelines: Experience managing vector embeddings, prompt engineering, or working with cloud-native NoSQL data stores for AI context management. 

TIAG is an equal opportunity employer and federal contractor or subcontractor.  Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a), and 41 CFR 60-741.5(a)  and employment decisions shall be based solely on merit and without regard disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. TIAG takes proactive steps to employ and advance in employment qualified individuals without regard to disability or protected veteran status.  The parties also agree that, as applicable, they will abide by the requirements and may be subject and required to take action pursuant to the following laws and accompanying regulations:

The Vietnam Era Veterans Readjustment Assistance Act of 1974, as amended (and its implementing regulations at 41 C.F.R. 60-300);
Section 503 of the Rehabilitation Act of 1973, as amended (and its implementing regulations at 41 C.F.R 60-741); and 
Executive Order 13496 (and its implementing regulations at 29 C.F.R. part 471, Appendix A to Subpart A).

Skills Required

  • 8-10 years professional software development experience.
  • US or Naturalized Citizenship (required for security clearance).
  • Experience integrating, consuming, fine-tuning, or orchestrating Large Language Models (LLMs).
  • Proficiency with PHP 8.x and Symfony, and integrating AI into PHP backends.
  • Frontend: React, React Native, Polymer, JavaScript, HTML5, CSS3.
  • Backend & APIs: RESTful API design and implementation.
  • Databases: MySQL/SQL and NoSQL experience; optimize queries for AI context and performance.
  • Cloud: Deep familiarity with AWS services (EC2, RDS, S3, Lambda, API Gateway, Cognito, DynamoDB).
  • Serverless architectures (AWS Lambda, API Gateway) and microservices experience.
  • DevOps/CI-CD: Jenkins CI (or similar), Git, Terraform, automated pipelines for software and ML deployments.
  • Experience with data pipelines, vector embeddings, prompt engineering, and AI context management.
  • Experience working in secure federal/Department of War constrained cybersecurity environments.
  • Knowledge of AWS Bedrock to manage foundation models, guardrails, or build agents.
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The Company
HQ: Reston, VA
348 Employees
Year Founded: 1999

What We Do

Delivering transformative technology solutions for the public sector and across the Department of Defense, TIAG drives modernization through synergistic processes and unique approaches. Our people are brilliant, well-credentialed business and technology experts who provide nimble, creative solutions to multidimensional problems. Our collective expertise results in refined, comprehensive services that truly make a difference. Customers choose TIAG because we drive genuine innovation and deliver value beyond the scope of work — ranging from complex enterprise-wide solutions to stand-alone custom projects. At TIAG, our greatest asset is our people. Our commitment to taking care of our employees inspires the dedication and longevity of our teams, ensuring success and continuity for client initiatives. TIAG’s strategic quality control management system and processes amplify our company-wide focus on excellence — ensuring the highest degree of management processes, solutions and work products we create and deliver for our customers. TIAG works to achieve and enhance our prestigious certifications for the ISO 9001:2015 Standard and for CMMI® (Capability Maturity Model® Integration) for Services (SVC) Level 3.

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