Lead AI Solutions Engineer

• Work directly with business stakeholders and domain experts to understand objectives, processes, constraints, and expected outcomes
• Analyse requirements, documentation, examples, templates, and reference materials
• Identify workflows suitable for AI automation and determine when conventional software is preferable
• Translate complex and ambiguous business processes into structured, executable instructions for AI agents
• Design, implement, test, and maintain reusable AI skills, including instructions, scripts, validation logic, reference data, and shared workflow components
• Build evaluations using realistic scenarios, golden cases, acceptance criteria, and regression checks
• Debug agent behavior, identify root causes of incorrect workflow results, and implement fixes
• Run pilots with real users, collect structured feedback, and release improved versions
• Own workstream outcomes including adoption, measurable time savings, and reliability
• Follow and improve standards for authoring, reviewing, versioning, and releasing skills
• Integrate with client platforms and data sources
• Work within the architecture and standards established by the Enterprise AI Architect
• Run client conversations and pilot cycles independently

• Proven hands-on software engineering experience building, reviewing, testing, and maintaining production-quality solutions
• Strong engineering foundation in at least one modern technology stack
• TypeScript / Node.js, NestJS, and Angular are advantageous but not required; Python, Java, or .NET backgrounds welcome
• Experience with version control, code review, automated testing, and CI/CD
• Experience shipping real LLM-backed systems to real users
• Hands-on experience with modern AI tools and platforms
• Working knowledge of the current AI tools and platform landscape
• Working command of agentic patterns, including tool use/function calling, MCP, prompt engineering, context engineering, structured instruction design, and orchestration
• Experience evaluating and improving non-deterministic systems using test sets and measurable acceptance criteria
• Sound judgment about when AI is appropriate versus conventional software
• Direct experience with external clients and business stakeholders
• Experience shaping and pitching solutions, not only delivering pre-scoped work
• Ability to turn ambiguous requirements and tacit domain knowledge into clear designs and executable workflows
• Ability to explain technical approaches and trade-offs to non-technical audiences
• Product mindset focused on user adoption and business outcomes
• English C1 proficiency
• Sustained working-hours overlap with clients in the US / Western Europe
• Nice to have: Claude Code, Skills, plugins, or MCP servers
• Nice to have: LLM evaluation tooling such as promptfoo, LangSmith, or custom harnesses
• Nice to have: consulting or professional services background
• Nice to have: exposure to HR tech, compensation and benefits, payroll, or workforce analytics
• Nice to have: internal developer tooling or platform capability experience
• Nice to have: public work such as open-source agent tooling, published skills/plugins, conference talks, or technical writing on agentic engineering

• B2B contract with Bonapolia
• Monthly invoicing
• Payment monthly, usually within 30 days, aligned with the client's payment schedule
• Contract written under the worker's country's law
• Bonapolia handles client-side paperwork including MSA, NDA, and invoicing
• Fully remote work