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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, building, and deploying AI systems in enterprise environments, with a strong focus on translating technical architectures into measurable business outcomes. Proficient in Python and experienced in managing production requirements, integrations, and security within AI applications.
Highest-signal resume keywords
AI System DesignPython ProficiencyEnterprise Production ExperienceBilingual in German and EnglishTechnical Decision-Making
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 System DevelopmentMachine Learning SystemsPrototypingArchitecture DesignDebuggingIntegrationObservabilityData GovernancePerformance OptimizationSystematic AI Evaluation
Soft Skills
Strong Technical JudgmentHigh AgencyEffective Communication
Tools & Technologies
JavaScriptTypeScriptAI Application Stack
Industry Keywords
Enterprise EnvironmentsProduction SystemsCustomer WorkflowsMeasurable Business OutcomesSecurityPrivacy
Tech Stack
Tools & technologiesJavaScriptPythonTypeScript
About the role
Key responsibilities & impact- Partner with enterprise and digital native customers to identify high-value opportunities
- Translate opportunities into technical architectures, implementation plans, evaluation strategies, and measurable success criteria
- Design, build, and deploy AI systems that solve customer problems and produce measurable business outcomes
- Build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators
- Make technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance
- Diagnose implementation challenges, reproduce failures, test hypotheses, and resolve blockers
- Help customers progress from prototypes to reliable production systems, sustained adoption, and scaled impact
- Collaborate with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams
- Translate deployment experience into product feedback
- Create reusable architectures, tooling, playbooks, and technical guidance for future enterprise deployments
Requirements
What you’ll need- 5+ years of experience designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production
- Fluent in both German and English
- Substantial personal contributions in code, architecture, evaluation, debugging, or engineering of production systems
- Highly proficient in Python
- Comfortable working across an AI application stack
- Experience with JavaScript, TypeScript, or another relevant language is valuable
- Understanding of systematic AI evaluation using representative data, graders, production signals, and human judgment
- Experience with enterprise production requirements including integrations, reliability, observability, security, privacy, data governance, performance, and cost
- Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes
- Ability to communicate across engineers, technical leaders, security teams, product leaders, and executives
- High agency, strong technical judgment, and end-to-end ownership in ambiguous environments
Benefits
Comp & perks- Hybrid work model of 3 days in the office per week
- Relocation assistance to new employees
- Immigration and sponsorship support may be provided based on individual circumstances
- Reasonable accommodations for applicants with disabilities