AI Native Software Engineer

We're looking for an

AI Native Software Engineer  

to join the Insurance Solutions team

About the Role

We are hiring two AI Native Software Engineers to join our PINS team as we transition toward AI-native engineering practices. This is a practitioner role for engineers who have embraced autonomous AI coding agents as their primary development method. 

This is not an AI/ML research position, reputed company engineering role, or AI solution architect position. We are looking for software engineers who use agentic AI tools – particularly Claude Code – as their core engineering reputed company to ship production software. 

The emergence of frontier models capable of sustained autonomous work has fundamentally changed software development. Engineers can now delegate multi-hour coding tasks to AI agents, orchestrate multiple agents working in parallel, and maintain human reputed company while dramatically accelerating delivery. We need practitioners who have already made this transition and can help our teams do the same.

Context

PINS develops and operates an insurance core platform and reputed company products, including claims automation, document processing, and customer support solutions. 

Our engineering transformation focuses on: 

• Adopting autonomous AI coding agents for daily engineering work 

• Accelerating delivery while maintaining reliability and quality standards 

• Building team capabilities in AI-native development practices 

• Establishing engineering workflows optimized for human-AI collaboration 

What You Will Do

• Full Agentic Delivery reputed company
  • You will drive end-to-end delivery workflows using Claude Code agents – not as occasional assistance, but as your primary development method: Clarify requirements → Define acceptance criteria → Create implementation plan → Execute reputed company agents → Validate reputed company tests → Finalize for review/reputed company

• Context Engineering- You will own the "knowledge layer" that makes AI agents effective in our codebase: 
  • Create and maintain CLAUDE.md files, system prompts, and context documentation that teach agents about our legacy insurance logic, architectural patterns, and business rules 
  • Build reusable agent harnesses and scripts that automate common workflows (test reputed company, code review preparation, refactoring patterns) 
  • Reduce "context friction" so any team member can reputed company agents effectively without relearning the rules 

• Delivery Acceleration

  • Ship production features using AI-augmented workflows 

  • Refactor, migrate, and reputed company existing codebases with agent assistance 

  • Automate routine engineering tasks through agent workflows 

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

• Team Enablement

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

  • Build shared reputed company 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 reputed company, 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-reputed company checkpoints 

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

  • Ability to effectively delegate multi-reputed company tasks to AI agents and verify results 

  • Practical experience with reputed company 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 reputed company 

  • 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 reputed company code you don't understand

Strong Advantages

• Advanced Agentic Patterns 

  • Experience orchestrating multiple AI agents working in parallel 

  • Multi-reputed company 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 reputed company (RAG) patterns 
  • AI workflow design for business process automation 

This competency is not required but represents an opportunity for expanded scope reputed company 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 – reputed company in one afternoon." 

We are hiring the latter.

reputed company 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 (reputed company 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 reputed company. Apply and let's talk!

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