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Bonapolia

Lead AI Solutions Engineer

Bonapolia

. Work directly with business stakeholders and domain experts to understand objectives, processes, constraints, and expected outcomes .

Posted 10/15/2026contractRemote • PortugalSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in translating complex business processes into structured AI workflows, with a strong foundation in software engineering and hands-on experience with modern AI tools. Capable of integrating client platforms and ensuring user adoption through effective communication and collaboration with stakeholders.

Highest-signal resume keywords
Software Engineering ExperienceAI Tools and PlatformsTypeScript / Node.jsAgentic PatternsUser Adoption Focus

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringAI Workflow DesignAutomated TestingVersion ControlCI/CDPrompt EngineeringContext EngineeringStructured Instruction DesignDebuggingEvaluation of Non-Deterministic Systems
Soft Skills
Stakeholder CommunicationProblem-SolvingJudgmentUser-Centric MindsetTechnical Explanation
Tools & Technologies
TypeScriptNode.jsNestJSAngularPythonJava.NETLLM Evaluation ToolingClaude CodeMCP Servers
Industry Keywords
AI AutomationClient IntegrationHR TechWorkforce AnalyticsConsulting Background

Tech Stack

Tools & technologies
AngularJavaJavaScriptNode.jsPythonTypeScript.NET

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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