BitGo is looking to build a team to explore and deliver high-leverage AI automation for engineering, support, and operations to improve speed, accuracy, and clarity across teams.
Requirements
- Experience building human-in-the-loop systems, LLM-powered agents, or AI copilots in a production environment.
- Familiarity with the practical application of AI/ML techniques, including context engineering, embeddings, vector stores, and LLM APIs.
- Ability to reason rigorously about trade-offs, system constraints, and long-term maintainability of AI-infused systems.
- 5+ years of backend engineering experience with a strong product and systems mindset.
- Experience in observability, operational excellence, or developer experience roles.
- Demonstrated experience delivering internal-facing tools, automation, or infrastructure that improved developer or operator workflows.
- Familiarity with knowledge management systems (e.g., Confluence, Google Drive, Q&A bots).
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.
Other
- This role will require being full-time onsite at our San Francisco office to support collaborative team dynamics and innovative problem-solving.
- Strong communication and stakeholder engagement skills, especially with cross-functional or non-technical partners.
- Interest in the long-term strategy of AI adoption, internal evangelism, and change management.
- Passion for applied AI, especially where it improves the quality, speed, and satisfaction of human work.
- Curiosity, adaptability, and systems thinking.
