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Full Stack AI Engineer
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What they do
A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
$124,809 / year median in Virginia
Job Description
Full Stack AI Engineer Information Gateways - 4.1 Alexandria, VA Job Details 5 hours ago Qualifications Rapid prototyping Software engineering Requirements design Tooling Production systems Prototype creation Implementing APIs Developing and maintaining backend systems Front-end component implementation Cloud solution engineering DevOps automation Business requirements Prototypes Python Full Job Description 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. 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