Location Alexandria, VA

Job Code 649

of Openings 1

Active Public Trust clearance is required for this role.

Full Stack AI Engineer

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 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.

Required Qualifications:

• 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.

Information Gateways Inc is an Equal Opportunity Employer, including disability/vets. At Information Gateways we also participate in E-Verify.

For more info email at ravir@infogateways.com