Job Title: AI Product Engineer (Full Stack) Position Type: Full-Time, Remote Working Hours: U.S. Business Hours About the Role We’re hiring an execution-focused AI Product Engineer (Full Stack) to build and scale a production-ready web application from the ground up. This is a hands-on role for someone who can take full ownership of both frontend and backend development while integrating AI capabilities into real-world product use cases. This is not a support or maintenance role — it requires building, shipping, and iterating on a live product with strong system design, performance, and reliability. What You’ll Own Full Product Development (End-to-End) - Build and launch a production-ready web application from concept to deployment. - Own both frontend and backend development across the full stack. - Continuously iterate and improve the product post-launch. AI Integration & Workflows - Design and implement AI-driven workflows within the product. - Integrate LLMs (e.g., Claude or similar) into real use cases. - Implement guardrails to manage AI limitations (hallucinations, edge cases). Backend Systems & Infrastructure - Build and manage backend systems using Supabase or similar tools. - Design scalable APIs and data structures. - Ensure efficient data handling and system performance. Security & System Reliability - Implement authentication, permissions, and data protection practices. - Ensure system security and integrity across the platform. - Optimize performance, scalability, and reliability. Product Collaboration & Iteration - Work closely with leadership to rapidly ship and improve features. - Translate product ideas into working technical solutions. - Continuously refine the system based on feedback and usage. Debugging & Optimization - Identify and fix system issues and bugs. - Improve system stability and user experience. - Maintain high-quality code and system performance. Must-Have Experience & Skills Non-Negotiables - Strong full stack development experience (frontend + backend). - Proven track record of building and shipping real, production-level products. - Hands-on experience integrating AI/LLMs into applications. - Strong understanding of system architecture and API design. - Experience with Supabase or similar backend platforms. - Strong understanding of AI limitations (hallucinations, failure handling). - Knowledge of security best practices (authentication, permissions, data protection). - Ability to work independently and take full ownership of product development. Nice-to-Haves - Experience building AI agents or automation workflows. - Familiarity with Claude or similar LLM tools in production. - Experience building SaaS or operational platforms. - Exposure to aviation, logistics, or membership systems. - Experience scaling products from MVP to production. Key Metrics for Success - Successful launch of production-ready application. - Stability and performance of the system. - Quality and effectiveness of AI integrations. - Speed of feature delivery and iteration. - Reduction in bugs and system issues over time. - Scalability and maintainability of the platform. Interview Process - Initial Screening Call - Technical & Systems Design Interview - Practical Task (Product Build / AI Integration Scenario) - Final Interview - Internal Review & Approval - Offer & Onboarding #LI-AG1

• Ensure compliance and conformance with Section 508 and WCAG standards across the HealthEdge suite of B2B SaaS healthcare products • Work as part of an agile team to implement new features according to the requirements while adhering to the best coding development standards. • Conduct detailed designs and lead design whiteboarding and creation of solution architecture. • Lead in work-breakdown of tasks. • Lead peer reviews of design and code. • Coordinate release management and bug triaging. • Lead technical discussions with HealthEdge customers to find the best possible solutions. • Conduct bug fixing, implement configuration migration processes, and other UAT readiness technical tasks. • Perform data loads for UAT readiness and during UAT as requested by the UAT plan. • Support resolution of UAT identified issues and their triage. • Contribute to authoring the Implementation Operational Information and companion spreadsheet for feeds. • Perform configuration migration processes and other PROD readiness technical tasks. • Perform data loads for PROD readiness. • Perform all job functions consistent with HealthEdge policies and procedures, including those which govern handling PHI and PII.

• Architect & Build: Drive the development of robust, scalable applications using a serverless-first mindset on AWS. • Pioneer Agentic AI: Design, build, and integrate solutions that utilize agentic AI, applying modern AI design patterns to automate and enhance complex workflows. • Supercharge Development: Champion modern, AI-assisted software engineering processes. You take development beyond vibe coding and leverage tools like Claude Code to multiply your team’s effectiveness. • Own the Infrastructure: Define and provision cloud architecture using modern Infrastructure as Code (IaC) tools like AWS CDK, Pulumi, and SST. • Solve End-to-End Problems: Take ownership of the entire lifecycle, seamlessly transitioning from high-level system design to deep-dive product support and debugging. • Champion Empathy: Advocate for the client and the end-user in every technical decision, ensuring our products are as user-friendly as they are technically sound.

• 複数のワークフロー、システム、分野にまたがるエンドツーエンドの技術ディスカバリーを推進し、Autodeskの技術を顧客の目標に結び付ける変革機会を特定する • 高度かつ複数ソリューションにまたがる技術提案および導入パスを設計し、明確なROIストーリーとソリューション正当化資料を作成する • 技術およびビジネスのステークホルダーと長期的かつ深い関係を構築・維持し、戦略的技術アドバイザーとして機能する • 詳細なカスタマーテクニカルビジョン(CTV)を策定・維持する • マルチソリューションの拡張機会を積極的に特定し、売上成長を促進する • 複雑な技術エスカレーションをリードする • アカウントエグゼクティブと連携して案件戦略を策定する • デモ、ベンチマーキング、技術ワークショップのために社内スペシャリストを統括する • 評価結果およびパフォーマンス結果に関するデータドリブンな分析を提供する • エンタープライズイベントや業界ディスカッションにおいてAutodeskを代表する