Full Stack AI Engineer
Information Gateways Inc
Alexandria, VA, United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
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.
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Apply on www.clearancejobs.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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