Full Stack AI Engineer
Job in
Alexandria, Fairfax County, Virginia, 22350, USA
Listed on 2026-09-27
Listing for:
Surge IT
Full Time
position Listed on 2026-09-27
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
This role blends hands‑on software engineering, applied AI, cloud-native development, and integration of generative AI accelerators into mission systems.
Job Description- Design, develop, and deploy AIenabled 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 AWSbased), data ingestion, and workflow automation.
- Collaborate with data scientists to train, finetune, 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, NLPdriven 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.
- 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.
- Handson experience applying machine learning or LLM capabilities in production or nearproduction environments.
- Strong Python skills for AI workflows and API development.
- Experience with AWS services (e.g., Lambda, S3, ECS/EKS, API Gateway, Cloud Formation/Terraform).
- Familiarity with vector search, embeddings, RAG architectures, or NLP/LLMdriven systems.
- Experience with Dev Ops tooling (Git Lab/Git Hub CI/CD, Docker, Kubernetes).
- Ability to work directly with clients, refine requirements, and deliver iterative prototypes quickly.
- Ability to successfully complete a Public Trust investigation
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