Senior Engineer- Full Stack; AI Platform

Senior Engineer-Full Stack (AI Platform)

Location: Sterling, Va

Clearance: Clearable but would like to see candidates with a clearance

Salary: $150k/yr-165k/yr

The above salary range represents the range expected for the position; however, final salary offers are based on a number of factors such as the position’s responsibilities; the candidate’s experience, education, and skills; location; travel required; and current market conditions.

This program requires US Citizenship

Seeking a full-stack Senior Engineer to join a high-impact team building and supporting AI-driven products, including our solicitation evaluation and proposal automation platform. You’ll design data visualizations, dashboards, and analytical tools that empower users to access and interpret data intuitively. This role spans full-stack development, AWS deployment, Agile collaboration, and mentoring junior engineers.

• Develop scalable full-stack web applications for the Quantify platform using React (Vite) and Python (Flask/FastAPI)
• Build and maintain RESTful APIs
  , integrate with Postgre
  
  SQL (Aurora) and vector databases
• Create responsive, secure UI components for data visualization
  , document management
  , and AI workflows
• Manage deployment and scaling in AWS (EC2, ALB, RDS, S3, Cloud Watch)
• Contribute to CI/CD
  , containerization (
  Docker, Kubernetes
  ), and system services
• Ensure quality through testing
  , logging
  , and documentation
• Support Agile sprint planning
  , issue tracking, and user story refinement
• Mentor junior developers and contribute to architecture and roadmap planning

• 3+ years of full-stack development in production environments
• Proficiency in Python
  , JavaScript/Type Script , and React
• Experience with Flask or FastAPI
  , REST APIs
  , and SQL Alchemy
• Familiarity with AWS (EC2, RDS, S3) and secure coding practices
• Understanding of OAuth2
  , Microsoft Entra , and Agile/Scrum workflows

• Experience with AI/data analytics tools (e.g., OpenAI APIs, Lang Chain)
• Knowledge of Docker
  , Nginx
  , and Linux administration
• Familiarity with Type Script ,
  Tailwind CSS
  , and modern build tools (Vite, Webpack)
• Data visualization using Recharts
  , Plotly
  , or similar libraries
• Awareness of web security best practices
• Interest in LLMs
  , RAG architectures
  , and vector databases

• Degree in Computer Science
  , Information Systems
  , Engineering
  , or Mathematics

ABBTECH is an EOE/Minorities/Women/Disabled Individuals/Veterans