Machine Learning - Software Engineer - Python, FastAPI, React
About The Position
We're seeking a Software Engineer to bridge the critical gap between cutting-edge ML research and production-ready solutions. You'll transform research prototypes into robust, deployable systems that end users can confidently put into production. This role uniquely combines software engineering, DevOps practices, and ML solution delivery. Key responsibilities include developing AI architecture best practices, building and maintaining testing frameworks for agentic coding harnesses, supporting cross-environment application operations, and creating 'Fuzzy blocks' for generating vulnerability discovery datasets and experimental scenarios.
Requirements
- A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
- Seven (7) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
- Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required.
- Four additional (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.
- Python
- FastAPI
- JavaScript / TypeScript
- React
- Docker
- Kubernetes
- Git
- CI/CD tools
- REST APIs
- MongoDB
- Cloud platforms or deployment environments
- Testing frameworks
- Collaboration tools like Jira or Confluence
Responsibilities
- Produce best-practices documentation and reusable implementation packages that establish repeatable patterns for building and deploying AI enabled software.
- Build and maintain the framework that executes repeatable tests against agentic coding harnesses, consuming the datasets and scenarios produced by Fuzzy blocks and running them alongside the Data Scientists' InspectAI benchmarks to measure agent performance and reliability.
- Support deployment, configuration, and operation of applications across both HS and LS environments. This includes ongoing sustainment of deployed applications, implementing small feature requests and enhancements driven by user feedback and evolving mission needs, and diagnosing and resolving bugs across both environments.
- Build and maintain Fuzzy blocks, a workflow driven framework that generates vulnerability discovery datasets and experimental scenarios fed into the testing harness. It provides a structured approach to creating repeatable benchmark datasets and adversarial test scenarios for AI systems and agents, supporting both research and operational security use cases.
Benefits
- Above Market Hourly Pay
- 11% Roth or Traditional 401k with Immediate Vesting and Deposit
- Spot Bonuses for Assisting with Business Development and Company Growth
- Professional Development Bonuses for Certificates and Degrees
- Company subsidized Medical Coverage
- 100% Company Paid Vision and Dental Coverage
- 100% Company Paid Long Term Disability , Short Term Disability , and Group Life Insurance
- Monthly Wellness Reimbursement
- Paid Time Off with Flexible Work Schedules and Birthday Off
- Amazon Prime Membership and Monthly Internet Reimbursement
- Technology and Productivity Allowance for Equipment and Supplies
- Morale Building and Company Events to Celebrate our Successes and Build our Community
- Onboarding and Annual Swag
- Company Paid Professional Development and Training
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What This Job Offers
Job Type
Full-time
Career Level
Senior
