CERN
Software Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
Genf
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CECERN
AI Solutions Engineer(m/w/x)
Genf
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing AI solutions for accelerator control systems at CERN, focusing on LLM and agentic AI. Practical LLM frameworks and RAG pipelines experience required. 30 days paid leave, comprehensive health insurance, and pension fund membership.
Requirements
- Master's Degree or equivalent relevant experience
- Solid Python software development experience
- Practical LLM frameworks knowledge (LangChain, LlamaIndex)
- Hands-on RAG pipelines building experience
- Vector databases, chunking, embedding techniques experience
- Agentic AI orchestration approaches familiarity
- Model Context Protocol (MCP) familiarity
- Rapid expertise development in MCP
- LLM evaluation and safety frameworks understanding
- LLM reliability, quality, responsible deployment assessment
- MLOps practices experience
- CI/CD workflows experience
- Clear technical documentation writing ability
- Complex ideas communication to diverse audiences
- Effective working relationships building
- Clear communication with diverse backgrounds
- Curiosity about AI application in complex environments
- Openness to learning accelerator domain context
- Programming techniques knowledge
- Python programming language knowledge
- ICT systems architecture and design
- Emerging ICT technologies identification and selection
- Machine learning and AI solutions development, validation, deployment
- Data pipelines and knowledge retrieval systems design and implementation
- Structured and organised approach to work
- Setting priorities and planning tasks with results
- Conscientious and reliable work
- Delivering on promises
- Pragmatic problem-solving approach
- Value of generic technical solutions
- Constructive and effective work relationships building
- Quick and resourceful adaptation to shifting priorities
- Spoken and written English
- Commitment to learn French
Tasks
- Design and develop AI solutions for accelerator control systems
- Collaborate with the BE-CSS group and ATS
- Contribute to the ATS AI Core Team
- Provide expertise in LLM and agentic AI systems
- Develop secure knowledge connectors and safe agent deployment patterns
- Engage in hands-on software development
- Lead cross-group collaboration and technical initiatives
- Identify and implement AI capabilities in group applications
- Design LLM-based solutions and chatbots
- Work with CERN IT on MLOps substrate
- Contribute to reusable AI patterns and evaluation frameworks
- Align AI solutions with operational needs and standards
- Support other AI-related initiatives in BE-CSS and ATS
- Help define central AI infrastructure for ATS
- Contribute to shared AI tooling and reference architectures
- Promote safe and efficient AI adoption practices
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Native
- French – Basic
Tools & Technologies
- Python
- LangChain
- LlamaIndex
- Vector databases
- CI/CD
Benefits
More Vacation Days
- 30 days paid leave
- 2 weeks annual closure
Healthcare & Fitness
- Comprehensive health insurance
Retirement Plans
- CERN Pension Fund membership
Additional Allowances
- Family, child and infant monthly allowances
- Relocation package
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of CERN and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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CECERN
AI Solutions Engineer(m/w/x)
Genf
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing AI solutions for accelerator control systems at CERN, focusing on LLM and agentic AI. Practical LLM frameworks and RAG pipelines experience required. 30 days paid leave, comprehensive health insurance, and pension fund membership.
Requirements
- Master's Degree or equivalent relevant experience
- Solid Python software development experience
- Practical LLM frameworks knowledge (LangChain, LlamaIndex)
- Hands-on RAG pipelines building experience
- Vector databases, chunking, embedding techniques experience
- Agentic AI orchestration approaches familiarity
- Model Context Protocol (MCP) familiarity
- Rapid expertise development in MCP
- LLM evaluation and safety frameworks understanding
- LLM reliability, quality, responsible deployment assessment
- MLOps practices experience
- CI/CD workflows experience
- Clear technical documentation writing ability
- Complex ideas communication to diverse audiences
- Effective working relationships building
- Clear communication with diverse backgrounds
- Curiosity about AI application in complex environments
- Openness to learning accelerator domain context
- Programming techniques knowledge
- Python programming language knowledge
- ICT systems architecture and design
- Emerging ICT technologies identification and selection
- Machine learning and AI solutions development, validation, deployment
- Data pipelines and knowledge retrieval systems design and implementation
- Structured and organised approach to work
- Setting priorities and planning tasks with results
- Conscientious and reliable work
- Delivering on promises
- Pragmatic problem-solving approach
- Value of generic technical solutions
- Constructive and effective work relationships building
- Quick and resourceful adaptation to shifting priorities
- Spoken and written English
- Commitment to learn French
Tasks
- Design and develop AI solutions for accelerator control systems
- Collaborate with the BE-CSS group and ATS
- Contribute to the ATS AI Core Team
- Provide expertise in LLM and agentic AI systems
- Develop secure knowledge connectors and safe agent deployment patterns
- Engage in hands-on software development
- Lead cross-group collaboration and technical initiatives
- Identify and implement AI capabilities in group applications
- Design LLM-based solutions and chatbots
- Work with CERN IT on MLOps substrate
- Contribute to reusable AI patterns and evaluation frameworks
- Align AI solutions with operational needs and standards
- Support other AI-related initiatives in BE-CSS and ATS
- Help define central AI infrastructure for ATS
- Contribute to shared AI tooling and reference architectures
- Promote safe and efficient AI adoption practices
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Native
- French – Basic
Tools & Technologies
- Python
- LangChain
- LlamaIndex
- Vector databases
- CI/CD
Benefits
More Vacation Days
- 30 days paid leave
- 2 weeks annual closure
Healthcare & Fitness
- Comprehensive health insurance
Retirement Plans
- CERN Pension Fund membership
Additional Allowances
- Family, child and infant monthly allowances
- Relocation package
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of CERN and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
CERN
Industry
Science
Description
The company is the European Organisation for Nuclear Research, focusing on probing the fundamental structure of the universe through particle physics.
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