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AI Engineer (m/f/d)

synvert consulting GmbH

Personio
Location
Münster; Hamburg; Munich; Baden, Not specified
Type
permanent
Salary
Salary not specified
Posted
26 Nov 2025
About synvert a GlobalLogic company synvert a GlobalLogic company is an innovative consulting firm with over 550 consultants, specializing in Cloud Data & AI. With more than 30 years of experience, synvert has completed over 3,000 successful projects for more than 250 clients across Europe and is known for long-term partnerships that typically last over 10 years. Your Tasks Analysis, design, development, and optimization of AI and GenAI solutions in cloud and on-premises environments for clients across various industries Integration of GenAI components (e.g., LLMs, embeddings, vector databases) into existing architectures, as well as migration of AI workloads to cloud or hybrid platforms Building and further development of AI/GenAI platforms (e.g., for model hosting, prompt pipelines, retrieval-augmented generation [RAG], MLOps/LLMOps) Implementation of AI-based use cases using modern cloud services, machine-learning frameworks, and GenAI APIs Creation of prototypes, proof of concepts, and showcases to evaluate new technologies and architectures Design and documentation of AI governance and security requirements, such as Responsible AI, access concepts, and model monitoring Medium-
About synvert a GlobalLogic company synvert a GlobalLogic company is an innovative consulting firm with over 550 consultants, specializing in Cloud Data & AI. With more than 30 years of experience, synvert has completed over 3,000 successful projects for more than 250 clients across Europe and is known for long-term partnerships that typically last over 10 years. Your Tasks Analysis, design, development, and optimization of AI and GenAI solutions in cloud and on-premises environments for clients across various industries Integration of GenAI components (e.g., LLMs, embeddings, vector databases) into existing architectures, as well as migration of AI workloads to cloud or hybrid platforms Building and further development of AI/GenAI platforms (e.g., for model hosting, prompt pipelines, retrieval-augmented generation [RAG], MLOps/LLMOps) Implementation of AI-based use cases using modern cloud services, machine-learning frameworks, and GenAI APIs Creation of prototypes, proof of concepts, and showcases to evaluate new technologies and architectures Design and documentation of AI governance and security requirements, such as Responsible AI, access concepts, and model monitoring Medium-term assumption of (partial) project management responsibilities as well as planning and delivery of workshops, training sessions, and client presentations on AI/GenAI What do we expect from you? University degree in a STEM field or a comparable qualification At least 2 years of hands-on experience in AI, GenAI, or data-engineering environments, ideally with cloud platforms such as Azure, AWS, GCP, Snowflake, or Databricks Strong knowledge of machine-learning pipelines, model deployment, or LLM integration (e.g., OpenAI/Azure OpenAI Services, Hugging Face, Vertex AI, Bedrock) Ideally experience with CI/CD principles, MLOps/LLMOps, and infrastructure as code (e.g., Terraform) Experience in data provisioning, processing, and connecting data sources (e.g., for RAG scenarios), as well as in visualizing results High willingness to learn and enthusiasm for new AI/GenAI technologies, frameworks, and best practices Strong analytical and logical thinking, independent and goal-oriented working style, and strong team skills Language skills: German: C1 English: B2 What you can expect Agile company culture and the best team Exciting clients and international projects with real impact A diverse, global team bringing together different perspectives Plenty of room for your own ideas and entrepreneurial thinking Regular after-work events such as summer parties, Christmas celebrations, and our legendary “Mexican meetings” – and much more Continuous development Clear career paths and individual growth opportunities A wide range of training and development programs Support for industry-recognized certifications Working model Flexible working hours – depending on your project Hybrid work model balancing office and remote work Workation opportunities for greater flexibility and inspiration Other benefits JobRad bike leasing program Muesli bar and on-site cafeteria Shared Friday breakfast at the office – the perfect start to the weekend