Senior Full Stack Engineer (AI Platform)

What you'll do

• Own platform features end-to-end, from design and implementation through testing and production.
• Build LLM-powered services and data/ML workflows, including agents, RAG retrieval, and document processing.
• Shape platform architecture and roadmap with technical leadership and translate analyst and customer needs into scalable software.

What they ask for

• U.S. person eligible to work on government contracts.
• Bachelor’s degree and 5 years of experience, or master’s degree and 3 years of experience, in Computer Science, Computer Engineering, or a related technical field.
• 5+ years building production software, with demonstrated ownership of full-stack systems.
• Expert Python; deep Django (or equivalent framework) and PostgreSQL experience; strong TypeScript/React skills; experience with LLM applications, search infrastructure, event-driven architectures, AWS, Docker, Kubernetes, Git, CI/CD, and Terraform.

Nice to have

• Active or prior SECRET clearance.
• Experience with ML/data orchestration or NLP pipelines, compliance-constrained environments, data visualization, or analyst-facing tools.

Pay

$95,000-$141,000 (base salary)

Tools

Django REST APIs, React/TypeScript, AWS Bedrock, OpenSearch, Metaflow, Argo Workflows, Kubernetes, PostgreSQL

AI focus

Build production LLM agents and RAG systems using AWS Bedrock and OpenSearch, including prompt engineering, evaluation, and cost/usage controls; develop data and ML workflows for ingestion, enrichment, classification, and document processing.