Machine Learning - Software Engineer - Python, FastAPI, React

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to make decisions and put forth new ideas. Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers. Description 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. • AI Architecture Best Practices: Produce best-practices documentation and reusable implementation packages that establish repeatable patterns for building and deploying AI enabled software. • Agentic Coding Harness Testing Framework: 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. • Cross Environment Application Operations: 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. • Fuzzy blocks: 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. Clearance 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. Experience 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.