15 hours ago

AI Engineer (f/m/d) (München, DE, 80335)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Design and develop enterprise-grade GenAI and ML applications that support Asset Management operational workflows. Build full-stack LLM/RAG systems with data pipelines, retrieval/embedding workflows, evaluation frameworks, and integration layers into enterprise platforms. Collaborate with operations teams, SMEs, and product owners to move prototypes into secure, scalable production while following responsible AI governance and compliance requirements.

Location: Munich, Frankfurt, Hong Kong

Workplace: Onsite

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, develop, and implement full-stack GenAI and ML applications for operational workflows.
•Build and integrate data pipelines, retrieval and embedding workflows, and evaluation frameworks for LLM and RAG-based systems.
•Implement AI components using established architectural and engineering standards with a focus on reusability and scaling.
•Design and implement integration layers connecting AI components to enterprise platforms and operational processes.
•Collaborate on responsible AI and governance, ensuring alignment with compliance, operational integrity, and data-protection requirements, and help transition successful solutions into production.

Pay and Benefits

Perks:PensionLearning Budget

Key Requirements

•University degree or equivalent in Computer Science, Information Systems, Engineering, Machine Learning, Data Science, or related fields.
•2-5 years of experience in software engineering or full-stack application development.
•1-2 years of hands-on experience with ML or GenAI applications (project or academic experience acceptable).
•3+ years working in agile development teams.
•Strong proficiency in Python and experience with ML/GenAI frameworks (e.g., LangChain, FastAPI, Semantic Kernel, AutoGen) plus LLMs, RAG architectures, embeddings, prompt engineering, and LLMOps/MLOps concepts.

Experience:2-5 yearsMachine learningGenAIEnterprise AIAsset management

Education:Bachelor's in Computer Science, Information Systems, Engineering, Machine Learning, Data Science (or related)

Skills:CommunicationProblem-solvingAnalytical thinkingOrganizational skillsAbility to learn

Languages:English

Tech Stack:PythonLangChainFastAPISemantic KernelAutoGenLLMsRAGPrompt engineeringLLMOpsMLOpsReactTypeScriptNode.jsAzure AI SearchMongoDBCosmos DBPgvectorChromaMilvusDocker

Company Brief

Allianz

Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Allianz

15 hours ago

AI Engineer (f/m/d) (München, DE, 80335)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Munich, Frankfurt, Hong Kong

Workplace: Onsite

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, develop, and implement full-stack GenAI and ML applications for operational workflows.
•Build and integrate data pipelines, retrieval and embedding workflows, and evaluation frameworks for LLM and RAG-based systems.
•Implement AI components using established architectural and engineering standards with a focus on reusability and scaling.
•Design and implement integration layers connecting AI components to enterprise platforms and operational processes.
•Collaborate on responsible AI and governance, ensuring alignment with compliance, operational integrity, and data-protection requirements, and help transition successful solutions into production.

Pay and Benefits

Perks:PensionLearning Budget

Key Requirements

•University degree or equivalent in Computer Science, Information Systems, Engineering, Machine Learning, Data Science, or related fields.
•2-5 years of experience in software engineering or full-stack application development.
•1-2 years of hands-on experience with ML or GenAI applications (project or academic experience acceptable).
•3+ years working in agile development teams.
•Strong proficiency in Python and experience with ML/GenAI frameworks (e.g., LangChain, FastAPI, Semantic Kernel, AutoGen) plus LLMs, RAG architectures, embeddings, prompt engineering, and LLMOps/MLOps concepts.

Experience:2-5 yearsMachine learningGenAIEnterprise AIAsset management

Education:Bachelor's in Computer Science, Information Systems, Engineering, Machine Learning, Data Science (or related)

Skills:CommunicationProblem-solvingAnalytical thinkingOrganizational skillsAbility to learn

Languages:English

Tech Stack:PythonLangChainFastAPISemantic KernelAutoGenLLMsRAGPrompt engineeringLLMOpsMLOpsReactTypeScriptNode.jsAzure AI SearchMongoDBCosmos DBPgvectorChromaMilvusDocker

Company Brief

Allianz

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn