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Atruvia AG

Senior AI Engineer

Atruvia AG

AI Engineer developing generative and agentic AI applications for Atruvia, the digitalization partner of Germany’s cooperative banking group. Evaluating models and deploying secure RAG and LLMOps solutions.

Posted 9/10/2026full-timeMunich • 🇩🇪 GermanySeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing customized AI applications, particularly in generative and agentic AI, while ensuring compliance with ethical standards and regulatory requirements. Proficient in Python and experienced in leading cross-functional projects within agile environments.

Highest-signal resume keywords
Python ProgrammingGenerative AI DevelopmentAgentic AI Tools (LlamaIndex, LangChain)Cloud Solutions DevelopmentRegulatory Compliance (BAIT, DORA, ISO 27001)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Application DevelopmentModel EvaluationPerformance OptimizationSecurity Concept DevelopmentEvaluation Dataset Generation
Soft Skills
Self-MotivatedCollaborativeAgile Environment Adaptability
Tools & Technologies
LLMOps Best PracticesContainer-Based SolutionsPrebuilt AI Systems Evaluation
Industry Keywords
Ethical ComplianceRegulated EnvironmentsInterdisciplinary Collaboration

Tech Stack

Tools & technologies
CloudPython

About the role

Key responsibilities & impact
  • Develop customized AI applications with a focus on generative and agentic AI
  • Evaluate model quality in terms of accuracy, robustness, and fairness
  • Ensure compliance with ethical and regulatory requirements
  • Deliver applications with demanding performance, security, and stability requirements in collaboration with developers and Quality Engineers
  • Implement RAG applications and use agentic frameworks
  • Support the DevOps team with LLMOps best practices, including prompt monitoring and tracing
  • Develop security concepts for LLMs
  • Select and architecturally evaluate prebuilt AI systems, taking cost, latency, and scalability into account
  • Generate evaluation datasets and implement industry standards in the field of AI
  • Screen new AI solutions on the market and assess their potential

Requirements

What you’ll need
  • Completed degree in Computer Science, Business Informatics, Mathematics, or Physics, together with several years of relevant professional experience, or an equivalent qualification
  • Experience leading cross-functional projects or workstreams
  • Experience developing AI applications
  • Strong Python skills, particularly with GenAI and agentic AI tools such as LlamaIndex and LangChain/LangGraph
  • Experience developing container-based and cloud solutions
  • Experience working in regulated environments; knowledge of BAIT, DORA, or ISO 27001 is a plus
  • Fluent German, at least C1 level
  • Good English, B2 level
  • Self-motivated, collaborative, and comfortable working in an agile environment
  • Enthusiasm for developing AI solutions in interdisciplinary environments and sharing knowledge

Benefits

Comp & perks
  • Attractive collectively agreed salary
  • 30 days of vacation
  • Hybrid working, combining remote work with time in modern office environments
  • Flexible working-time models, including part-time options and 30–40 hours per week for full-time employment
  • Lifetime working-time account, including options for a sabbatical and/or leave before retirement
  • Family budget and support in special family situations
  • Subsidized company pension plan
  • Choice of bicycle leasing, IT hardware leasing, capital-forming benefits, and/or an additional day of leave
  • Structured and individualized onboarding with a dedicated mentor
  • Regular feedback meetings with the People Lead
  • Welcome event: #enter
  • Health management programs, including offers from Familiengenossenschaft and voiio
  • Company restaurants
  • Sports programs
  • Wide range of professional development opportunities
  • Long-term employment and job security
  • Kununu Top Company 2026, a Kununu score of 4.3, and an employee recommendation rate of at least 90%