deduction - Senior AI Engineer
Requirements
• Production AI Experience: You have a track record of taking AI features beyond "demo-ware" and into production at scale. • Context Engineering & AI Orchestration Mastery: Proven experience building systems where the primary challenge is managing context, memory, state at scale. • Collaborative Architect: You enjoy working closely with other senior leads to brainstorm, peer-review, and iterate on complex system designs. • The Stack: TypeScript (Node.js). Production experience with AI orchestration and evaluation. Familiarity with observability tooling is a plus. • Fintech/Regulated Context: You understand that in tax, "mostly right" is wrong. You have the discipline required for building in a regulated space. • Growth Mindset: You are ready to go from zero → one → scale with minimal friction, leaning into the evolving nature of the AI stack. • Early-Stage Appetite: You thrive in environments where priorities shift fast, scope isn't always locked. You'd rather ship, experiment, and iterate than wait for a perfect spec. • AI-NATIVE DEVELOPMENT • You actively use AI tools as a core part of your development workflow (not optional) • You believe the software engineer’s job is fundamentally changing—and you lean into that shift
Responsibilities
• Architect & Scale AI Systems: Work closely with the Founding AI Engineer to evolve our AI systems to a robust, governed, cutting-edge platform. • Harden the Reasoning & Context Layer: Design sophisticated context engineering systems—managing memory and state while improving reliability, performance, and user experience. • Build a Multi-Layered Evaluation Platform: Design and implement a robust system for continuous quality improvement, leveraging comprehensive offline test suites, LLM-as-a-judge scoring (AI Auditor), and production-based CPA moderation to create a data flywheel. • Full-Stack AI Delivery: Write production-ready TypeScript (Node.js), ensuring AI features are seamlessly integrated into our core fintech platform. • Security-First Design: Ensure context boundaries and data retrieval paths natively enforce strict security, privacy, and compliance guardrails to protect client data. • Lead AI-Native Development: Set the standard for using AI to build AI—leveraging advanced coding assistants and automated testing to maintain high velocity and socializing best practices across the team.
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