• Design and implement API gateways, model routing layers, and service infrastructure that connect fine-tuned CRE models with production applications. • Develop internal developer tooling - prompt management interfaces, evaluation dashboards, trace viewers - that accelerate the team's ability to ship and iterate on AI features. • Implement integration patterns for embedding AI capabilities into LightBox's existing workflow applications, ensuring seamless user experiences. • Build observability and monitoring infrastructure for AI workloads: latency tracking, quality metrics, cost attribution, and usage analytics. • Contribute to the platform's knowledge retrieval and caching layers, optimizing for both accuracy and performance at scale. • Collaborate with ML engineers on model serving infrastructure, helping bridge the gap between training outputs and production deployment. • Participate in architecture decisions and technical design reviews, bringing a pragmatic full-stack perspective to the team's work.

• Design, implement, and maintain the agent harness • Build the systems we use to run and reproduce experiments • Own environments, tooling, and repeatable runs • Partner with security and evaluation engineers on their workflows

• Own the architecture and long-term technical strategy for RapidFort's Build Platform. • Design and operate highly scalable distributed build systems capable of producing and maintaining thousands of production-ready container images. • Build automated systems for image creation, validation, signing, publishing, and lifecycle management. • Improve build performance, scalability, reproducibility, reliability, and operational efficiency. • Design automation that eliminates manual engineering work while improving developer productivity. • Develop internal tooling and platform services using Python, Bash, and modern cloud-native technologies. • Solve complex Linux, dependency management, networking, container, and build-system challenges. • Drive engineering standards around software supply chain integrity, reproducible builds, and platform reliability. • Partner closely with Platform Engineering, Security Research, Product Engineering, and Infrastructure teams. • Lead architecture reviews and influence technical decisions across multiple engineering organizations. • Mentor senior engineers and help raise the technical bar across the company. • Continuously identify opportunities to simplify systems, improve reliability, and reduce operational overhead.

• Build and scale Vannevar’s centralized authentication and authorization platform, including tenant isolation across customer environments—from development through classified deployments. • Own the internal self-service platform for user, group, and permission management; partner with Design to deliver intuitive administrative experiences for developers and mission teams. • Build tooling and visualizations that help developers, administrators, and mission users understand and validate access permissions. • Own and evolve Vannevar’s platform management interfaces, including the feature flag system, to support new products and customer needs. • Partner with product engineering teams to build shared authorization and resource-sharing capabilities across the platform. • Shape the long-term roadmap for the Security Platform team by driving scalable platform capabilities and improving the developer experience.