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Senior Forward Deployed AI Engineer
anacision GmbH. Work with business units and end users to understand processes, identify suitable AI use cases, and define measurable success criteria .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in applied AI, particularly with LLMs, RAG, and agentic workflows, while effectively leading technical projects and integrating AI solutions into business processes. Proficient in Python and experienced in managing model and data quality in production environments.
Highest-signal resume keywords
Applied AI ExpertisePython ProgrammingTechnical Project LeadershipAPI IntegrationBilingual Proficiency (German and English)
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentApplied AILLMsRAGAgentic WorkflowsData Quality ManagementProduction-Ready Code DevelopmentAutomated TestingCI/CDCloud Deployment
Soft Skills
Customer EngagementTeam CollaborationProblem SolvingCommunication
Tools & Technologies
APIsGitContainersData Pipelines
Certifications & Qualifications
PhD in AI or Generative AI
Industry Keywords
Governance RequirementsAI Use CasesBusiness ProcessesTechnical Obstacles
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Work with business units and end users to understand processes, identify suitable AI use cases, and define measurable success criteria
- Lead customer projects from a technical and organizational perspective: prioritize requirements, plan implementation, and resolve technical obstacles together with the team
- Develop production-ready code
- Integrate AI solutions into existing IT environments and business processes via APIs, data pipelines, and services
- Apply LLMs, RAG, and agentic workflows selectively, making pragmatic decisions about when traditional software or other ML methods are more appropriate
- Take responsibility for model and data quality at production level
- Consider governance requirements from the outset of operations
- Support customers during testing and implementation together with the project team
- Help establish AI-enabled ways of working within the team
- Turn project insights into reusable solution components
- Support customers from the initial idea through stable operations
Requirements
What you’ll need- Completed degree in Computer Science, Data Science, Mathematics, Physics, Engineering, or a comparable technical field
- A PhD in AI or generative AI is a plus
- Several years of software development experience
- Strong knowledge of applied AI, particularly LLMs, RAG, and agentic workflows
- Ability to assess the value, limitations, and quality of an approach and develop it into a productive solution
- Excellent Python skills
- Ideally, experience with APIs, Git, automated testing, CI/CD, containers, and cloud or on-premises deployment
- Experience in technical project leadership and direct customer engagement
- Excellent German and English skills (C1 or above)
Benefits
Comp & perks- Flexible working hours, part-time options, and flexible work locations within Germany to support a healthy work-life balance and the compatibility of family and career
- Varied and responsible work in an innovative and dynamic environment
- The freedom to drive your own ideas forward
- Scope for individual professional development, including up to 4 hours per week for internal or external training
- Private use of a laptop and mobile phone
- Financial support for setting up a home office
- Collaboration within a motivated team
- 30 days of vacation per year
- Bicycle leasing and a fitness pass valid throughout Germany
- Regular team events
- Remote-first policy
- Regular off-sites and monthly opportunities for in-person exchange and social interaction