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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing AI solutions, with a strong focus on production-ready code and architectural decision-making. Proficient in managing projects across business functions and engineering, while effectively communicating in both German and English.
Highest-signal resume keywords
AI Solution DevelopmentProduction Software DeliveryExperience with LLMs and Generative AIArchitectural Decision-MakingCustomer Engagement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production-Ready CodeAI and Agent SolutionsCodebase AnalysisArchitectural DecisionsGenerative AILLMsRAGWorkflow TransformationExplainable AIDeployment
Soft Skills
Project ManagementContext SwitchingCustomer CollaborationEffective PrioritizationCommunication
Tools & Technologies
Microsoft Copilot EcosystemAI Coding ToolsOpen-Source Contributions
Industry Keywords
Business Value RealizationCustomer EngagementAI LandscapeAgentic Coding
About the role
Key responsibilities & impact- Work embedded within customer teams
- Analyze codebases and understand the underlying business
- Develop AI solutions that transform workflows
- Make architectural decisions and write production-ready code
- Implement AI and agent solutions, as well as prioritized use cases, based on the Microsoft Copilot ecosystem
- Translate between business functions and technology
- Enable employees to use AI solutions in their day-to-day work
- Independently find answers to new challenges in the rapidly evolving AI landscape
- Take end-to-end ownership of architecture, implementation, deployment, and collaboration with the customer’s engineering team
- Develop reliable and explainable AI and agent systems
- Bring insights and reusable patterns from customer engagements back to the Perelyn team
- Support solutions through to production use and the realization of business value
Requirements
What you’ll need- Approximately 4–8 years of experience building and delivering production software
- Proven experience taking solutions into production and being accountable for them—not just building proofs of concept
- Experience with LLMs, Generative AI, agents, and RAG
- Comfortable using modern AI and agentic coding tools as part of your everyday work
- Interest in new models, tools, and methods across the AI landscape
- Ability to manage parallel projects, prioritize effectively, and switch contexts smoothly
- Ability to quickly get up to speed in different domains and work confidently across business functions, executive leadership, and engineering
- Enjoyment of working directly with customers
- Fluent written and spoken German and English
- Open-source contributions, an actively used side project, or a talk or publication on applied AI are a plus, but not required
Benefits
Comp & perks- Competitive salary with performance-based bonus and annual compensation review
- Opportunities to further develop your technical expertise
- Coverage of relevant training and certification costs
- Hybrid work environment
- Flat hierarchies and flexible working hours
- Clear, honest communication and modern tools
- 30 days of annual leave
- Equipment provided according to your needs
- Company-subsidized Wellpass membership
- Plenty of fun and innovation in an inspiring environment