Forward Deployed Engineer
About The Position
Circle (NYSE: CRCL) is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle’s platform includes the world’s largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com . What you’ll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder. Circle is building the world’s leading digital currency and payments infrastructure. The AI Strategy & Transformation Team is a small, high-impact tiger team responsible for proving and scaling agentic systems that materially change how the company operates. As a Forward Deployed Engineer , you will serve as a builder, translator, and change agent. You will work directly with the Director of AI Strategy & Transformation and embed with internal teams to identify bottlenecks, imagine parallel AI-powered systems, and turn those ideas into working agentic systems that deliver real business impact. This is an experimental, action-oriented role for someone who enjoys ambiguity, moves quickly from idea to prototype, and has the judgment and communication skills to bring stakeholders along.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
- Strong software fundamentals and ability to ship production-quality code.
- Experience with LLM tooling or agent frameworks
- Comfort operating in ambiguous problem spaces and defining the problem as you go.
- Clear, empathetic communicator with both technical and non-technical audiences.
- Demonstrated ownership and follow-through.
Nice To Haves
- Exposure to evaluation, experimentation, or quality measurement for AI systems.
- Experience building internal tools, workflows, or automations for business teams.
- Interest in teaching, enablement, or documentation as a force multiplier.
Responsibilities
- Partner with internal functional leaders and subject matter expects to identify high-friction processes and high-value opportunities to redesign how work gets done using AI.
- Rapidly prototype, ship, and iterate agent workflows that drive measurable improvements in speed, quality, or efficiency.
- Build trust with non-technical stakeholders through clear communication, demos, and practical enablement.
- Design and maintain evaluation and feedback loops (e.g., LangChain-based evals) to assess quality, reliability, and safety.
- Capture what works and turn it into reusable patterns, playbooks, templates, and internal tooling.
- Surface insights from field work to inform broader AI strategy, product direction, and organizational design.
- Model strong engineering hygiene: documentation, versioning, monitoring, and continuous iteration.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
