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AI Implementation Developer – FDE
Philipp und Keuntje GmbH. Analyze business processes together with customers and translate requirements into concrete AI architectures .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI development, particularly in creating AI architectures, integrating language models, and delivering intelligent applications. Proficient in Python and TypeScript, with strong problem-solving skills and the ability to communicate complex AI concepts effectively.
Highest-signal resume keywords
AI DevelopmentPython ProgrammingTypeScript ProgrammingAPI IntegrationLanguage Model Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI ArchitectureSoftware EngineeringPrompt EngineeringIntelligent Process AutomationTesting and OptimizationReusable AI ComponentsVector DatabasesAI Agents DevelopmentDocumentationBusiness Process Analysis
Soft Skills
Customer EngagementClear CommunicationOwnershipCommitment to QualityProblem-Solving
Tools & Technologies
ERP SystemsCRM SystemsAPIsAI ModelsIntelligent Applications
Industry Keywords
AI SolutionsLanguage ModelsAutomationProject ManagementConsulting
Tech Stack
Tools & technologiesERPPythonTypeScript
About the role
Key responsibilities & impact- Analyze business processes together with customers and translate requirements into concrete AI architectures
- Develop AI agents, LLM integrations, automations, and intelligent applications
- Integrate language models and AI capabilities via APIs into ERP, CRM, and other enterprise systems
- Work directly on-site with customers for selected engagements and implement AI solutions together with specialist departments
- Support AI models and applications from prototype through production, including testing, documentation, and optimization
- Work closely with consulting and project management teams
- Develop reusable AI components based on project experience
Requirements
What you’ll need- Practical experience in AI development and software engineering, for example with Python or TypeScript
- Experience with APIs, vector databases, prompt engineering, and connecting language models
- Proven experience delivering projects involving language models, AI agents, or intelligent process automation
- Ability to quickly understand unfamiliar processes and develop pragmatic AI solutions
- Ability to explain complex AI concepts clearly and enjoy working directly with customers
- Strong sense of ownership and commitment to quality
- Willingness to travel as required for projects
- Very good German skills
- Good English skills for technical documentation
- A university degree, vocational training, or career-change background is welcome; demonstrable AI projects and problem-solving skills are what matter most
Benefits
Comp & perks- Permanent employment contract
- Six-month probationary period
- 40-hour workweek
- 26 days of annual leave
- AI projects with real-world applications and tangible results
- Ownership and the opportunity to actively shape intelligent systems
- Collaboration with an interdisciplinary team across consulting, development, and project management
- A variety of industries, systems, and AI challenges
- Project-related travel