Vice President of Product Management leading the US server and AI infrastructure business at ASUS. Directing product strategy, governance, and engaging with strategic partners.
IG
Hybrid AI Consultant – Large Language Models, RAG, Agent Systems, Applied AI
Posted 3 months ago
About the role
- AI Consultant developing LLM prototypes and AI solutions. Collaborating with clients and partners to implement advanced AI technologies for business benefit.
Responsibilities
- Develop LLM prototypes, agents and chatbots including data integration, RAG architectures, tooling and evaluation.
- Implement innovative AI demos and MVPs for clients and internal showcases, for example for web applications, internal tools or customer-specific workflows.
- Advise clients on AI readiness, use case identification, process integration and best practices for working with modern LLMs.
- Run workshops and live demos — hands-on, directly in the tools — using real models and real data examples.
- Support presales by refining use cases, designing proofs of concept and preparing technical arguments.
- Collaborate with our partners (e.g., Microsoft, Databricks) to build modern, GDPR-compliant AI stacks for clients.
- Monitor trends in the AI space and make pragmatic decisions about which new models, frameworks and tools are relevant for us and our clients.
Requirements
- Experience with Large Language Models, e.g., OpenAI, Azure OpenAI, Mistral, Claude or Llama
- Strong software development skills in one or more languages, e.g., Python, TypeScript, Node.js, C#, React
- Basic understanding of machine learning, databases or data engineering
- Enjoy rapid experimentation and prototyping
- Enjoy working with people / strong interpersonal skills
- Excellent German and solid English skills
Benefits
- Flexible working hours
- Hybrid working
- Workation
- Sabbatical
- Childcare for children under 3, including a childcare allowance
- Urban Sports Club membership and additional health/sports benefits, e.g., bike leasing
- Long-term development prospects with diverse training opportunities
- Varied, healthy and subsidized lunch in our canteen
- Large INFORM summer party, company and team outings, and a Christmas party
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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