Forward Deployed Engineer

CircleRemote

EngineeringMid

Join Circle’s AI Strategy and Transformation team to rapidly build and scale agentic systems that improve how internal teams operate.

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.

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.

Success Measures

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.

Requirements

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.

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.