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Tech Lead - Sr. Fullstack Engineer at Permian Labs – New York, New York

Permian Labs
New York, New York, 10001, United States
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About This Position

Job Title: Tech Lead - Sr. Fullstack EngineerCompany: Permian Labs (USD.AI)Location: New York City, NYEmployment Type: Full-time
About USD.AI / GPULoans.comUSD.AI is a yield-bearing synthetic dollar backed by AI infrastructure assets. Through a borrower-facing portal, GPULoans.com, emerging AI cloud providers can efficiently finance GPU expansion by leverage these income-generating assets as collateral. By combining deep underwriting expertise with transparent, on-chain infrastructure, USD.AI provides flexible, non-recourse financing to AI infrastructure operators and sustainable, yield-bearing opportunities to capital providers.
The TeamOur team draws experience from DRW, Deutsche Bank, Rockpoint, Nansen, Balancer, and other leading DeFi and TradFi institutions. We are Series A+-funded by Coinbase Ventures, Dragonfly, DCG, Nascent, Ethereal and others. We’ve built financial and blockchain products facilitating hundreds of millions in transaction volume across diverse asset types. We have no middle managers and move quickly from idea to execution.We value integrity, high-agency and the ability to operate in ambiguity above all else.
The RoleThe AI Engineer role calls for someone who's excited to act both as a self-motivated, high-autonomy individual contributor and as a team leader for our front-end developer group. This person will bring high-level structure to our code base, deploy AI across the organization, and guide peers to build the next generation of financial technology. You will gain ownership over our existing suite of web products, as well as the ability to influence the creation, design, and execution of future products. You will be responsible for ensuring a consistent, high-quality user experience across transactional interfaces, data-heavy analytics pages, homepages, documentation portals and more.
Responsibilities
  • Drive company-wide AI strategy: Identify and execute opportunities to integrate AI across our product suite, operations, and customer interactions. Own the roadmap for AI features and capabilities, including productization of deal underwriting process.
  • Full-stack implementation: Own end to end development of core products as both individual contributor and team leader. Build out our 'borrower' ecosystem (gpuloans.com) suite of tools. Maintain high-quality, scalable, and reusable codebases for user-facing applications
  • Architect scalable ML pipelines: Create robust infrastructure for training, evaluating, and deploying models in production. Implement monitoring and feedback loops to continuously improve model performance.
  • Create trustworthy user experiences by building interfaces that are simple, easy to comprehend, performant and reliable using tools like React, Typescript, Next.js, etc.

Requirements
  • 5+ years of software engineering experience with 3+ years focused on AI/ML engineering, including production deployment of models and ML systems.
  • Strong hands-on experience with modern AI/ML frameworks and applied tools.
  • Strong full-stack engineering skills with experience in our tech stack (React, TypeScript, Next.js, Node.js) or similar modern web frameworks.
  • High-agency, self-directed operator comfortable working in early-stage environments. You identify problems, propose solutions, and drive them to completion with minimal oversight.
  • Excellent communication skills and ability to translate complex AI concepts for non-technical stakeholders.
  • Nice to have: Experience with Web3 frontend stack (Wagmi/Viem, smart contract interaction), crypto/DeFi, or financial services. Experience with LLMs, prompt engineering, and agentic systems.

What We Offer
  • Base salary ($275k+) competitive with crypto or finance startups
  • Long-term token and equity incentive package.
  • Unlimited PTO.
  • Transparent, impact-driven culture that rewards results over politics.
  • Support for professional development and clear growth paths as we scale.

Job Location

New York, New York, 10001, United States

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