Posted May 21, 2026
End-to-End Product Engineering: Rapidly prototype and scale full-stack applications, ensuring seamless integration between UI, business logic, and ML inference. - Architectural Leadership: Design modular, extensible system architectures that support rapid iteration without accruing technical debt. - Technical Governance: Lead code reviews across the stack and serve as escalation point for engineering, infrastructure, and security decisions. - Risk & Remediation: Identify scalability bottlenecks and security vulnerabilities and present remediation strategies. - Bridge Research & Product: Translate experimental ML techniques into production-ready features. - Infrastructure & Compliance: Design infrastructure aligned with government audit requirements (e.g., HIPAA, FedRAMP). - Security-First Development: Implement IAM and secure data practices across the lifecycle. - AI-First Product Ownership: Drive conception and execution of AI-first products, maintaining a strong bias toward applying state-of-the-art capabilities in production environments. ### Qualifications**:**
Bachelor’s degree in Computer Science or equivalent experience. - 8–10 years of experience in software development with a track record of shipping full-stack products from 0 to 1. - Expert proficiency in React/TypeScript and backend systems (Python, Rust, or Go), including API design. - 5+ years building and operating production ML systems with focus on deployment and inference. - Deep experience with cloud architecture and identity management (e.g., Microsoft Entra ID/Auth0/Octa) in regulated environments. - Strong data engineering skills across SQL, NoSQL, and vector databases. - Demonstrated experience as a technical lead or principal engineer. - AI Innovation Mindset: Demonstrated passion for staying at the forefront of AI advancements and incorporating cutting-edge capabilities into production systems. - U.S. Citizenship: Must be a U.S. citizen to support work on government contracts and controlled environments. Salary Range: $200,000-300,000. This represents the typical base salary range for this position based on experience, skills, and other factors. #LI-RCP
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