Full Stack AI Engineer

Information Gateways Inc

Alexandria, VA, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Continuous Integration Document Management Systems Github Spring Framework Python (Programming Language) Machine Learning Node.Js Rapid Prototyping Process Search Technologies

+20 more

Data Ingestion DevOps Tools - Open-source ReactJS Large Language Models Generative AI Backend Gitlab Cloudformation Fastapi Vue.js AngularJS Kubernetes Machine Learning Operations Api Design Api Gateway Terraform Automation Anywhere Docker Microservices Data Generation

Job description

Design, develop, and deploy AI enabled full stack applications that support document processing, intelligent search, generative AI use cases, and agentic workflows.
Implement and integrate reusable AI accelerators such as RAG pipelines, model orchestration layers, hybrid search components, and structured data generation capabilities.
Develop secure, cloud native backend APIs and microservices (preferably AWS based), data ingestion, and workflow automation.
Collaborate with data scientists to train, fine tune, or evaluate machine learning and LLM models implemented within client systems.
Apply LLMOps best practices for model lifecycle, experimentation, telemetry, CI/CD, testing, and monitoring.
Ensure solutions comply with client security requirements, federal accessibility standards, and responsible AI principles.
Support rapid prototyping as well as hardening prototypes to production-grade systems aligned to client modernization initiatives (e.g., intelligent document management, NLP-driven search, cloud migration).
Participate in sprint ceremonies, backlog refinement, and joint design sessions with product owners and technical leads.
Produce documentation, architecture diagrams, and deployment artifacts.

Requirements

Experience building full stack applications using frameworks such as React, Angular, or Vue; and backend frameworks such as Node.js, Python FastAPI, or Java Spring.
Hands-on experience applying machine learning or LLM capabilities in production or near production environments.
Strong Python skills for AI workflows and API development.
Experience with AWS services (e.g., Lambda, S3, ECS/EKS, API Gateway, CloudFormation/Terraform).
Familiarity with vector search, embeddings, RAG architectures, or NLP/LLM-driven systems.
Experience with DevOps tooling (GitLab/GitHub CI/CD, Docker, Kubernetes).
Ability to work directly with clients, refine requirements, and deliver iterative prototypes quickly.