Full Stack Software Engineer - Core Platform (Agentic AI)

Role: Full Stack Software Engineer - Core Platform (Agentic AI)Location: Washington, D.CClearance: Secret and above Compensation: $180k-$220kAbout the CompanyOur client is a fast-growing defense technology company building the operating system for agentic AI in high-consequence environments. In under a year they have won multiple U.S. Government prime contracts, are live on classified networks, and beat established defense primes in open competition. The team comes from the intelligence community, special operations, and frontier AI research, with backgrounds at some of the most respected names in defense and national security.About the RoleThey are hiring a Full Stack Software Engineer to join the core platform team. This is an end-to-end ownership role - you will build the features that put real AI tooling in the hands of intelligence analysts, compressing days of manual synthesis into minutes of analysis.ResponsibilitiesDesigning and building FastAPI endpoints backed by PostgreSQL and SQLAlchemy for agent configuration, workflow orchestration, and evaluation pipelinesBuilding interactive React and TypeScript features including conversation interfaces, workflow visualization, and knowledge-graph explorationOwning durable workflow orchestration for long-running agent execution, including delegation, monitoring, and timeout propagationContributing to Python and TypeScript client SDKs for programmatic consumersWriting contract-driven, test-first code across the full stack from database migration through API contract to UI stateDesigning testing strategies for non-deterministic AI components using metamorphic and property-based testing approachesOwning performance across the stack - API latency, query efficiency, render performance, and streaming latency QualificationsProduction Python: async patterns, relational modeling, layered servicesProduction React and TypeScriptComfortable reasoning about data flow across every layer, from schema to UI stateWrites clean, well-tested code and works test-first Required SkillsExperience with agentic AI systems, harness engineering, or building on LLM APIsDistributed task orchestration systemsGraph databases or vector searchModel Context Protocol or similar tool-use frameworksIdentity management via OAuth2/OIDCOpen-source developer tooling contributionsBackground in intelligence analysis, OSINT, or analytical workflowsCloud infrastructure on GCP or equivalent, including managed Kubernetes, managed databases, and secrets management