Requirements

• 4+ years of professional software engineering experience in Python or TypeScript with a focus on API integrations, backend services, or scripting.
• 1+ years of hands-on experience leveraging AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code) to author, refactor, and debug production code.
• Strong experience working with REST APIs, JSON/YAML schemas, and structured data transformations.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice to Haves

• Strong technical communication and interpersonal skills to collaborate effectively with non-technical domain experts and translate requirements into clean technical specs.
• Solid grasp of generative AI, prompt engineering, function calling, structured outputs, and agentic specifications (e.g., Model Context Protocol / MCP).
• Ability to dissect complex domain scripts or unstructured documentation and refactor them into modular, testable, production-ready code.
• Experience writing unit/integration test cases, mocking API dependencies, and debugging schema mismatches.
• Strategic agility to ramp up quickly on new business domains and deliver high-impact capabilities in rapid iteration cycles.
• Experience building or operating large language model evaluation frameworks (e.g., Ragas, DeepEval, Braintrust, LangSmith, or custom assertion suites) to benchmark tool-calling accuracy and agent success rates.

What You'll Be Doing

• Partner with domain experts and senior consultants to translate complex business logic into structured AI skill definitions.
• Utilize AI-assisted editors to generate, refactor, and refine prompt logic, tool descriptions, and Model Context Protocol tool calls.
• Connect AI skills to backend systems via enterprise REST APIs, MCP servers, and complex data structures for seamless execution.
• Abstract and optimize business procedures into clean, modular logic for improved execution reliability.
• Design and implement automated test suites to stress-test skills, API parameters, fallback logic, and error handling.
• Establish best practices, train domain experts on self-serve authoring workflows, and review skill submissions for compliance and integrity.
• Implement evaluation-driven development by curating benchmark evaluation datasets and applying continuous integration and quality gates.
• Analyze production telemetry and drift to continuously improve AI skill deterministic behavior.

Perks and Benefits

• Base pay range of €72,000 EUR - €108,000 EUR (for Ireland location).
• Eligibility for Workday Bonus Plan or role-specific commission/bonus.
• Annual refresh stock grants awarded by Workday Inc.
• Flexible work approach combining in-person and remote time, with at least 50% of time each quarter spent in office or field.
• Supportive company culture rooted in integrity, empathy, and enthusiasm.
• Commitment to reasonable accommodations and equal opportunity employment, including for individuals with disabilities and protected veterans.