Zendesk GmbH (Germany)
Senior AI Agent Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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Building agentic AI platforms for in-house legal teams, developing hypervisors for system governance. Hands-on experience deploying ML models in production required. Global team collaboration.
Requirements
- Strong track record of leading AI initiatives
- Strong programming skills in Python
- Experience with deep learning frameworks
- Hands-on experience deploying ML models in production
- Solid understanding of data pipelines and distributed systems
- Knowledge of prompt engineering and fine-tuning for LLMs
- Experience with cloud platforms and containerization
- Ph.D. or Master’s in Computer Science or related field
- Proven ability to build partnerships across teams
Tasks
- Leverage emerging technologies to enhance agent intelligence
- Collaborate with legal experts to build an evals framework
- Develop a hypervisor for agentic system governance
- Create the first alignment program for legal AI systems
- Drive applied research into LLMs and agentic systems
- Rapidly prototype and validate production-ready capabilities
- Stay updated on advances in foundation models and agentic frameworks
- Integrate new tools into the product quickly
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Hugging Face
- AWS
- GCP
- Azure
- Docker
- Kubernetes
Benefits
Startup Environment
- Innovative work environment
- Empowered environment
Informal Culture
- High standards culture
Other Benefits
- Global team collaboration
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Flank 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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Building agentic AI platforms for in-house legal teams, developing hypervisors for system governance. Hands-on experience deploying ML models in production required. Global team collaboration.
Requirements
- Strong track record of leading AI initiatives
- Strong programming skills in Python
- Experience with deep learning frameworks
- Hands-on experience deploying ML models in production
- Solid understanding of data pipelines and distributed systems
- Knowledge of prompt engineering and fine-tuning for LLMs
- Experience with cloud platforms and containerization
- Ph.D. or Master’s in Computer Science or related field
- Proven ability to build partnerships across teams
Tasks
- Leverage emerging technologies to enhance agent intelligence
- Collaborate with legal experts to build an evals framework
- Develop a hypervisor for agentic system governance
- Create the first alignment program for legal AI systems
- Drive applied research into LLMs and agentic systems
- Rapidly prototype and validate production-ready capabilities
- Stay updated on advances in foundation models and agentic frameworks
- Integrate new tools into the product quickly
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Hugging Face
- AWS
- GCP
- Azure
- Docker
- Kubernetes
Benefits
Startup Environment
- Innovative work environment
- Empowered environment
Informal Culture
- High standards culture
Other Benefits
- Global team collaboration
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Flank 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.
About the Company
Flank
Industry
IT
Description
The company is the leading Agentic AI platform for in-house legal teams, automating workflows and enhancing collaboration between AI and humans.
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