Full Stack AI Engineer

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 View email address on click.appcast.io