Lead AI Solutions Engineer - Claude Code

Square One Resources is hiring for a role focused on designing and building reusable skills for Claude Code, working closely with business stakeholders and domain experts. The role intersects software development, AI prompt and context engineering, and business process automation.

• Strong hands-on experience using Claude Code in real software-development or business-workflow scenarios.
• Practical experience creating Claude Code Skills or comparable reusable capabilities for AI coding agents.
• Strong understanding of modern AI engineering patterns, including agentic workflows, tool use, prompt engineering, context engineering, and structured instruction design.
• Proven hands-on software engineering experience with ability to build, review, test, and maintain production-quality solutions.
• Ability to transform business requirements and domain knowledge into clear technical designs and executable workflows.
• Experience evaluating and improving non-deterministic AI solutions.

Nice to have:

• Hands-on experience specifically with authoring Claude Code Skills, plugins, or MCP servers.
• Experience with evaluation tooling for LLM systems (e.g., promptfoo, LangSmith, custom harnesses).
• Consulting or professional services background.
• Domain exposure to HR technology, compensation & benefits, payroll, or workforce analytics.
• Experience building internal developer tooling or platform capabilities.
• Public artefacts such as open-source agent tooling, published skills or plugins, conference talks, or technical writing on agentic engineering.

• Collaborate directly with business stakeholders and domain experts to understand objectives, processes, constraints, and expected outcomes.
• Analyse business requirements, documentation, examples, templates, and reference materials.
• Identify workflows and use cases for implementation or improvement through Claude Code Skills.
• Design, implement, test, and maintain reusable Claude Code Skills.
• Create clear skill instructions, supporting scripts, reference materials, validation logic, and reusable workflow components.
• Translate complex or ambiguous business processes into structured, executable instructions for AI agents.
• Evaluate skill behaviour using realistic scenarios, test cases, and acceptance criteria.
• Improve reliability, accuracy, usability, and maintainability through iterative testing and stakeholder feedback.