About the company
BitGo is the leader in digital asset financial services, providing institutional investors with liquidity, custody, and security solutions. Founded in 2013, BitGo pioneered the multi-signature wallet and is the first digital asset company to focus exclusively on serving institutional clients. Active in both centralized and decentralized finance, BitGo offers market leading trading, lending, and borrowing services through its prime brokerage services and acts as the custodian for WBTC, the leading global stablecoin for Bitcoin. In 2020, BitGo launched BitGo Portfolio and Tax, providing clients with a full-stack solution for digital assets. In 2018, it launched BitGo Trust Company, the first qualified custodian purpose-built for storing digital assets. BitGo processes approximately 20% of all global Bitcoin transactions, and supports over 600 coins and tokens. BitGo provides the security and operational backbone for more than 1500 institutional clients in 50 countries, including many regulated entities and the world’s top cryptocurrency exchanges and platforms. BitGo is backed by Goldman Sachs, Craft Ventures, Digital Currency Group, DRW, Galaxy Digital Ventures, Redpoint Ventures, and Valor Equity Partners.
Job Summary
Responsibilities:
📍Partner with stakeholders across engineering, support, and operations to identify workflows that could benefit from applied AI, and prototype fast, durable solutions grounded in real-world constraints. 📍Design, deploy, and maintain internal AI systems that improve speed, accuracy, and clarity across teams. 📍Track effectiveness of deployed AI systems through user feedback and metrics. 📍Prototype and productionize agentic workflows and copilots that accelerate decision-making, reduce toil, and improve service quality. 📍Own the full lifecycle of internal AI tools – from exploration to rollout to iteration – prioritizing safety, observability, and long-term maintainability. 📍Establish and evolve best practices for AI safety, context engineering, retrieval-augmented generation, and integration with existing systems and APIs. 📍Help shape BitGo's internal strategy for AI adoption, establishing frameworks for evaluating, prioritizing, and scaling successful solutions.
Required:
đź“ŤExperience building human-in-the-loop systems, LLM-powered agents, or AI copilots in a production environment. đź“ŤFamiliarity with the practical application of AI/ML techniques, including context engineering, embeddings, vector stores, and LLM APIs. đź“ŤAbility to reason rigorously about trade-offs, system constraints, and long-term maintainability of AI-infused systems. đź“ŤStrong communication and stakeholder engagement skills, especially with cross-functional or non-technical partners. đź“Ť5+ years of backend engineering experience with a strong product and systems mindset.
The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.
