AI Native Software Engineer

• Transfer AI-native development practices to teammates through demonstration and mentoring 

  Build shared prompt libraries, workflow documentation, and reusable tooling 

  Contribute to team standards for AI-assisted code review and quality assurance 

  Help colleagues transition from traditional to AI-augmented development methods

  What Success Looks Like 

  You treat AI as a delivery engine, not an experiment. You: 

  Convert vague requests into precise requirements and agent-executable tasks 

  Orchestrate agents to produce changes across multiple files and services 

  Ensure changes are verified, not just generated: 

  Tests updated/added, executed, and passing 

  Edge cases and failure modes considered

  Readiness for code review and merging demonstrated

  Produce outcomes that are safe, maintainable, and operable in production 

  Measure your success by delivery outcomes and team velocity, not personal commit count

  Mandatory Requirements

  • Agentic AI Tool Proficiency 

    • Demonstrated daily use of Claude Code or equivalent autonomous coding agents in production work 

      Understanding of agentic workflow patterns: task decomposition, sequential and parallel execution, human-in-the-loop checkpoints 

      Experience with project configuration (CLAUDE.md files, rules files, context management) 

      Ability to effectively delegate multi-step tasks to AI agents and verify results 

      Practical experience with prompt engineering: clear specification, iterative refinement, context optimization

  • Software Engineering Foundation 

    • Strong programming background with production system experience 

      Polyglot proficiency: ability to read, review, and debug code in multiple languages (Java, Python, TypeScript) even if you don't write them manually every day – the AI writes, you verify 

      Understanding of software architecture, testing practices, and code quality standards 

      Experience working with legacy systems and real-world production constraints 

      Familiarity with version control workflows, code review practices, and CI/CD pipelines 

  • Working Style 

    • Delegate, Review, Own mentality: you hand off implementation to agents, spend the majority of time reviewing (not writing) code, and take full responsibility for outcomes regardless of who wrote the syntax 

      Tolerance for ambiguity: comfortable working with probabilistic tools, handling AI mistakes by improving context and specifications rather than abandoning the approach 

      Strong focus on maintainability, quality, and measurable business outcomes 

      Systematic verification habits for AI-generated output

      Never merge code you don't understand

      Strong Advantages 

      • Advanced Agentic Patterns 

        • Experience orchestrating multiple AI agents working in parallel 

          Multi-step workflow automation with proper error handling and recovery 

          Automated validation loops: agent-assisted testing, regression protection, release checklists 

          Cost and token budget management for sustained agent operations 

          Experience with sub-agent delegation and specialization patterns

      • Team Leadership 

        • Experience transitioning teams from traditional to AI-augmented development 

          Track record of building shared tooling, documentation, or processes for AI adoption 

          Ability to address resistance and build adoption through demonstrated results

      • Cloud and Infrastructure 

        • Cloud platform experience (Azure, AWS, or GCP) 

          Container orchestration and deployment automation 

          Infrastructure-as-code practices

      • Domain Experience 

        • Exposure to regulated industries (insurance, finance, healthcare) 

          Experience with enterprise software development constraints

          Understanding of compliance and audit requirements

          Optional Competency: AI Product Development 

• While the primary focus of this role is AI-augmented software engineering (using AI to build software), experience building AI-powered product features is valuable given PINS team context. This includes: 
  • API-based LLM integration in production applications 
  • Embeddings and vector search implementation 
  • Retrieval-Augmented Generation (RAG) patterns 
  • AI workflow design for business process automation 

This competency is not required but represents an opportunity for expanded scope within the team.

The Litmus Test

Traditional Engineer:
"I used Copilot to autocomplete a function." 

AI-Native Engineer:
"I wrote a spec for the claims processing module, fed it to Claude Code with our architecture context, reviewed the 12-file PR it generated, had it write and run the integration tests, fixed two edge cases it missed, and merged it – all in one afternoon." 

We are hiring the latter.

What We Offer

• Salary from EUR 4000 gross per month based on skills and experience for full-time work.
• Work completely remotely, on-site from our modern city center office, or hybrid.
• Well-covered health insurance from day one including dentistry, sports, psychosomatic, outpatient rehabilitation supplementary programs, and critical illness insurance.
• Mobile device purchase expenses and call & data subscription services coverage.
• 100% coverage of sick leave A from the first day of sickness.
• The referral bonus for referring candidates who become successful new hires.
• Other benefits e.g., a vision benefits plan, financial support for significant life events, partly paid study leave, and paid participation in sports events.
• Work-life balance: flexible schedule, no overtime, and flexible work arrangements.
• You are free to work from abroad for up to 6 months per year (within the EU/EEA).
• Professional development is supported by participating in training & conferences, access to the internal library of IT and management books, and knowledge-sharing events.
• Participation in team building and department social events, and annual company celebrations.
• Supportive, friendly, and resourceful new-colleague onboarding process.

We are excited to expand our team. Apply and let's talk! 

For more information visit our home page, Facebook, Instagram, and LinkedIn profiles, and see the team in action on YouTube.