Forward Deployed Engineer

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.

What You Will Do

• 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.

What Success Looks Like (First 6–12 Months)

• Multiple teams adopt agentic workflows that materially reduce time-to-outcome or operational burden.

• Stakeholders begin to rethink their processes and organizational design based on what you’ve built.

• Teams can safely iterate on agentic systems using your playbooks, tools, and guidance.

• Proven patterns accelerate new deployments across the company.

Who You Are

• You have a bias toward action: you’d rather build, test, and learn than wait for perfect clarity.

• You enjoy being a fresh set of eyes inside complex organizations and questioning “the way we’ve always done it.”

• You’re comfortable working with non-technical partners who may be cautious or less knowledgeable about AI, and know how to meet them where they are.

• You balance creativity and pragmatism: bold ideas, grounded execution.

• You take ownership from first sketch to real-world impact.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.

Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.

Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.