We are seeking a skilled AI Engineer to design develop and deploy intelligent (multi-) agentic systems in an Engineering Workflow Platformthat automates and digitalizes established processes across engineering departments. The ideal candidate will have strong experience in machine learning AI system architecture and deploying AI responsibly within enterprise environments. A key responsibility is to ensure that AI systems and agents operate securely responsibly and comply with all relevant enterprise standards and policies. The candidate should be passionate about advancing AI technologies while maintaining ethical and regulatory compliance. Moreover openness and enthusiasm to learn about engineering concepts and their applications in AI is essential.
Working Model- German working hours
What should you bring along
Strong problem-solvingskills and ability to work in cross-functional teams.
Excellent communicationskills for technical documentation and stakeholder collaboration
Commitmentto continuous leaning in a fast-evolving AI landscape
Ability to collaboratein cross-functional teams including software engineers to integrate AI solutions into engineering workflows.
Must have technical skill
Bachelors or Masters degreein Computer Science Artificial Intelligence Data Science Engineering or a related field
Strong programmingskills in Python Java or similar languages used in AI development.
Experiencewith AI frameworks and libraries such as langchain haystack ollama or similar
Knowledge of Model Context Protocol(MCP) and A2Aand their application in AI system development and integration.
First professionalexperience with agentic and multiagentic systems.
Familiarity with cloud platforms and AI deployment tools (AWS Docker)
Strong focus on AI security ethical AI practices and compliance with enterprise governance and regulatory standards.
Experiencewith version control and collaboration tools like Git
Good to have technical skills
Experiencewith Agile/Scrum methodologies.
Experiencewith advanced AI/ML techniques such as explainable AI (XAI) federated learning or transfer learning
Exposure to knowledge graphsand semantic AI technologies
Required Experience:
Senior IC
RoleAI EngineerVisit our websiteto know more.Follow us onLinkedInInstagramFacebookXfor the exciting updates.About the UNIT/ Unit OverviewComputational DesignLocationExperienceNumber of openingsWhat awaits you/ Job ProfileWe are seeking a skilled AI Engineer to design develop and deploy intelligent (...
We are seeking a skilled AI Engineer to design develop and deploy intelligent (multi-) agentic systems in an Engineering Workflow Platformthat automates and digitalizes established processes across engineering departments. The ideal candidate will have strong experience in machine learning AI system architecture and deploying AI responsibly within enterprise environments. A key responsibility is to ensure that AI systems and agents operate securely responsibly and comply with all relevant enterprise standards and policies. The candidate should be passionate about advancing AI technologies while maintaining ethical and regulatory compliance. Moreover openness and enthusiasm to learn about engineering concepts and their applications in AI is essential.
Working Model- German working hours
What should you bring along
Strong problem-solvingskills and ability to work in cross-functional teams.
Excellent communicationskills for technical documentation and stakeholder collaboration
Commitmentto continuous leaning in a fast-evolving AI landscape
Ability to collaboratein cross-functional teams including software engineers to integrate AI solutions into engineering workflows.
Must have technical skill
Bachelors or Masters degreein Computer Science Artificial Intelligence Data Science Engineering or a related field
Strong programmingskills in Python Java or similar languages used in AI development.
Experiencewith AI frameworks and libraries such as langchain haystack ollama or similar
Knowledge of Model Context Protocol(MCP) and A2Aand their application in AI system development and integration.
First professionalexperience with agentic and multiagentic systems.
Familiarity with cloud platforms and AI deployment tools (AWS Docker)
Strong focus on AI security ethical AI practices and compliance with enterprise governance and regulatory standards.
Experiencewith version control and collaboration tools like Git
Good to have technical skills
Experiencewith Agile/Scrum methodologies.
Experiencewith advanced AI/ML techniques such as explainable AI (XAI) federated learning or transfer learning
Exposure to knowledge graphsand semantic AI technologies
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