Senior AI-ML Integration Software Engineer

TIAG; Reston (VA); On-site; USD 150,000 - 175,000; Full time

Job summary

TIAG is seeking a Senior AI/ML Software Engineer in Reston, VA to lead the integration of cutting-edge AI and ML capabilities into our Department of War human performance platform. This full-time role requires expertise in AI features, cloud services, and secure software practices.

The ideal candidate will have over 8 years of software development experience and a strong background in both front-end and back-end technologies. Benefits include a competitive salary and the opportunity to influence project outcomes.

Qualifications

• 8–10 years of professional software development experience.
• Strong proficiency in modern front-end and back-end technologies.
• Experience working in secure environments governed by federal cybersecurity requirements.

Responsibilities

• Architect and deploy intelligent AI features and workflows.
• Develop serverless backends and optimize data ingestion pipelines.
• Mentor junior developers and define technical requirements.

Skills

React

React Native

JavaScript

HTML5

CSS3

PHP8.x (Symfony)

RESTful APIs

MySQL

AWS (EC2, RDS, S3, Lambda)

Terraform

Git

Jenkins CI

Fine-tuning large language models

Vector embeddings

Job description

Job Title: Senior AI/ML Software Engineer (Full-Stack)

Location: Reston, VA 20190 • Position Type: Full Time • Salary: $150,000 – $175,000 per year • Travel: None

TIAG is hiring a full‑stack Senior AI/ML Software Engineer to lead the integration of cutting‑edge AI and ML capabilities into our Department of War human performance platform. A U.S. or Naturalized citizenship and security‑clearance processing is required.

Responsibilities

• Architect and deploy intelligent AI features. Build generative AI workflows, retrieval‑augmented generation (RAG), and agentic pipelines using cloud‑AI services.
• Develop serverless backends (e.g., AWS Lambda, API Gateway) and microservices that interface 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.
• Set up, maintain, and secure automated CI/CD pipelines using Jenkins or cloud‑native tooling to support continuous deployment of software and ML integrations.
• Define technical requirements, break down tasks for complex projects, and mentor junior developers on enterprise best practices.
• Consolidate legacy processes and automate critical workflows to reduce manual workloads.
• Incorporate AI‑driven features (predictive text, intelligent search, automated categorization, voice interfaces) into user‑facing web and mobile front‑ends.
• Integrate AI/ML capabilities into existing PHP backend API.
• Create new build pipelines in parallel with legacy tools and provide thought leadership to architecture, design, and modernization efforts.
• Organize work plans, estimate tasks, and deliver finished projects on schedule.

Qualifications

• 8–10 years of professional software development experience.
• Front‑end: React, React Native, Polymer, JavaScript, HTML5, CSS3.
• Back‑end: Strong proficiency in PHP8.x (Symfony), RESTful APIs, MySQL.
• Cloud & DevOps: AWS (EC2, RDS, S3, Lambda, API Gateway, Cognito, DynamoDB), Terraform, Git, Jenkins CI.
• Security: Experience working in secure environments governed by federal Department of War cybersecurity requirements.
• AI Integration: Proven experience consuming, fine‑tuning, or orchestrating large language models within enterprise applications.
• Preferred: AWS Bedrock knowledge, including API usage to manage foundation models, guardrails, or agent construction.
• Data Pipelines: Experience with vector embeddings, prompt engineering, and cloud‑native NoSQL data stores.

Equal Opportunity Employment

TIAG is an equal opportunity employer and federal contractor or subcontractor. Employment decisions shall be based solely on merit and without regard to disability, 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 qualified individuals without regard to disability or protected veteran status.

Compliance with federal EEO laws and regulations including 41CFR60‑1.4(a), 60‑300.5(a), 60‑741.5(a), the Vietnam Era Veterans Readjustment Assistance Act of 1974, Section503 of the Rehabilitation Act of 1973, and Executive Order13496 is required.