Our clients, a rapidly growing/expanding AI-focused software development company supporting federal agencies, is seeking a Senior Fullstack Engineer to build and scale complex operational systems spanning APIs, asynchronous workflows, realtime infrastructure, AI integrations, and frontend synchronization.

This role focuses on owning features end-to-end across distributed systems where APIs, workers, queues, websockets, external AI providers, and frontend state management all interact within a single workflow.

About the Organization

Delivers mission-critical technology for those who protect what matters. Builds AI-enabled capabilities purpose-built for federal law enforcement and national security partners. Work sits at the intersection of artificial intelligence, cybersecurity, identity technology, and advanced operational workflows. Operates with a startup mentality focused on technical depth, creative problem-solving, and ownership.

Work Location

Fully remote role
Distributed engineering environment with close collaboration across backend, frontend, platform, and AI teams
Schedule: Monday-Friday

Role Summary

The Senior Fullstack Engineer will own complex features across backend services, frontend systems, realtime infrastructure, and asynchronous orchestration pipelines. The role requires engineers who can manage system complexity explicitly while designing maintainable architectures that scale operationally.

The ideal candidate is comfortable working across APIs, queue-driven systems, frontend workflows, and AI integrations while thinking deeply about reliability, failure recovery, state consistency, and operational clarity.

Key Responsibilities

Ship fullstack features spanning APIs, workers, realtime systems, and frontend workflows
Design backend services with clear separation between:
- Transport layers
- Business orchestration
- Persistence layers
- Asynchronous side effects
Build systems supporting:
- Long-running jobs
- Retries and compensation paths
- Partial completion handling
- Idempotency
- Failure recovery
Integrate external AI and model providers behind stable abstraction layers
Review and improve architecture for:
- Race conditions
- Stale state management
- Data integrity
- Queue semantics
- Migration safety
Design and support asynchronous systems where user-visible operations extend beyond the original request lifecycle
Build and maintain:
- Background job systems
- Websocket-driven workflows
- Event-driven architectures
- Long-running orchestration pipelines
Support workflow and pipeline orchestration systems including:
- Multi-step commands
- Checkpoints
- Fan-out / fan-in execution
- Job coordination
- Execution tracing

Required Qualifications

Extensive experience building fullstack systems with meaningful asynchronous complexity
Strong proficiency with:
- Python
- TypeScript
- React
Experience building and maintaining:
- Async APIs
- Websocket-based systems
- Queue-driven architectures
Experience integrating AI or agent-based systems into production applications
Strong understanding of architecture boundaries and operational system design
Ability to identify and design around failure modes early in the development lifecycle
Comfortable owning features across both backend and frontend systems
Strong communication and collaboration skills in distributed engineering environments

Preferred Qualifications

Experience designing operational products rather than simple dashboard-style applications
Familiarity with distributed systems and workflow orchestration patterns
Experience working with:
- AWS infrastructure
- Event-driven systems
- Realtime synchronization architectures
Deep understanding of:
- State consistency
- Queue semantics
- Observability
- Reliability engineering
Experience building systems involving:
- Provider abstraction layers
- Retries and routing logic
- Timeout handling
- Execution tracing

What Success Looks Like

First 30 days: Gain deep understanding of platform architecture, async workflows, and operational system boundaries
First 90 days: Deliver production-ready fullstack features spanning backend orchestration, realtime systems, and frontend synchronization
First 6 months: Improve platform reliability, architectural clarity, and operational scalability across distributed workflows and AI integrations

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