Member of Technical Staff - Applied AI
Entendre Finance provides an AI-powered, automated accounting platform designed for the Web3 ecosystem. It helps businesses, accounting firms, and individuals manage digital assets by tracking, reconciling, and analyzing on-chain transactions from DeFi, NFTs, and other crypto activities. The platform integrates with existing financial software to streamline workflows, provide real-time financial reporting, and simplify the complexities of crypto accounting.
Funding
About Entendre Finance
Entendre Finance offers a comprehensive, AI-powered accounting platform designed to automate and simplify financial operations for the digital asset economy. Serving a diverse clientele including Web3 teams, accounting firms, DeFi protocols, NFT projects, and large enterprises, the platform acts as a single source of truth by integrating with numerous blockchains, crypto exchanges, and traditional accounting software like Quickbooks, Xero, and Netsuite. Key features include a crypto sub-ledger, automated transaction reconciliation, real-time financial reporting, treasury management, and support for complex scenarios like multi-entity accounting, DeFi activities, and NFT inventory tracking. By leveraging AI agents and a rules-based engine, Entendre transforms complex on-chain data into audit-ready, GAAP/IFRS compliant financial statements, enabling businesses to save significant time, enhance accuracy, and make data-informed decisions.
Skills
About the Role
You will design and ship user-facing products that combine cutting-edge AI capabilities with dependable workflows. You'll work across the stack to deliver solutions that are robust, intuitive, and effective for users. You'll integrate large language model capabilities—including retrieval, reconciliation, and safeguard mechanisms—directly into products, and write code structured not only for humans but for AI agents to interpret and build upon.
Requirements
- Experience delivering production-grade AI-powered features or products
- Proficiency in building APIs, data models, and user interfaces
- Familiarity with working directly with LLMs or similar advanced machine learning models
- Ability to write clean, structured, and maintainable code to facilitate both human and automated agent collaboration
Responsibilities
- Design and deliver user-facing applications integrating AI features with clear, repeatable workflows
- Build and maintain APIs, data models, and frontend components that are understandable and reliable
- Integrate LLM capabilities—including retrieval, reconciliation, and safeguard mechanisms—directly into products
- Write code that is structured for both humans and AI agents to interpret and build upon