Job Description

ABOUT THE ROLE

We are looking for forward-thinking, high-performing AI Engineers who are excited to pioneer the future of AI-driven engineering at Paysend. In this role, you will work hands-on with Claude Code and the Anthropic API to design, harden, and ship agentic systems that write, review, test, and deploy code. This is a high-impact, build-and-own opportunity: you will take cutting-edge AI prototypes and turn them into resilient production infrastructure - directly empowering our global engineering teams, accelerating our product velocity, and helping us solidify Paysend as the definitive end-to-end payment infrastructure for the modern world.

THE ENGINEERING PROBLEM

The problem is not to make an LLM generate code. The problem is to make AI-assisted and agentic software delivery reliable enough to become part of normal engineering work.

These systems operate inside real software delivery workflows. They need to deal with incomplete context, failed execution, incorrect assumptions, external dependencies, changing repository state, and cases where an agent should not continue on its own. This means designing clear execution boundaries, decision points, observability, recovery and escalation paths, not only the agent behaviour itself.

The role includes shaping how these systems work, not only implementing integrations with existing AI tools.

WHAT YOU'LL DO

• Design end-to-end AI-assisted delivery workflows, including agent responsibilities, execution boundaries, decision points, human intervention, failure handling, recovery, and escalation
• Design and refine AI-driven pipelines that automate coding, code review, testing, and deployment tasks
• Build and optimise agentic workflows using Claude Code and the Anthropic API, including custom tooling, MCP server integrations, sub-agents, and stateful orchestration logic
• Engineer robust prompts, benchmark suites, and automated eval datasets; measure and improve pipeline accuracy, latency, and API costs
• Define workflow-specific success criteria and operational evidence, including correctness, reliability, intervention and escalation rates, failure modes, and recovery effectiveness
• Integrate core Anthropic capabilities (tool use, structured outputs, prompt caching, batch processing) into internal developer platforms
• Handle unglamorous production work: sandboxed execution, strict error handling, retries, observability, guardrails, and edge cases
• Own these systems after initial implementation: observe how they behave in real engineering workflows, investigate failures and incorrect behaviour, and improve the system based on operational evidence
• Partner with engineers across the org to identify automation opportunities and roll out agentic tools safely with human-in-the-loop review mechanisms

WHAT WE'RE LOOKING FOR

• Strong software engineering background, with experience designing, building, and operating production systems, and strong hands-on experience with Python or TypeScript
• Ability to decompose end-to-end engineering workflows, identify decision boundaries, failure modes, dependencies, observability needs, and recovery paths
• Direct, hands-on experience with Claude Code—you've used it beyond casual experimentation and understand its strengths, limits, and configuration (CLAUDE.md, sub-agents, hooks)
• Experience building with LLM APIs: prompt engineering, tool/function calling, structured outputs, context window optimization, agentic loops, and evaluation
• Familiarity with MCP (Model Context Protocol) server integration and custom workflows
• Comfort turning prototypes into production systems: CI/CD integration, containerized execution, reliability engineering, and monitoring
• Pragmatic judgment about where AI automation helps and where traditional deterministic logic or human oversight is required

NICE TO HAVE

• Experience with agent orchestration frameworks or building custom agent harnesses/tooling
• Track record shipping internal developer platforms or CLI tooling
• Contributions to open-source AI frameworks, developer tools, or MCP servers

Why Join Paysend?

• Make a Global Impact:

Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally.

• Own Meaningful Outcomes:

We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand.

• Grow with Us:

As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies.

• Collaborate with Exceptional People:

Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers.

• Move Fast and Make Things Happen:

We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results.

• Be Part of Our Journey:

We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.