AI Engineer
Tasks
- Apply MLOps model deployment and monitoring
- Build and integrate large language models
- Build and integrate multi agent systems
- Collaborate with cross-functional teams
- Design AI application user interfaces
- Develop back end AI applications
- Document AI models and limitations
- Ensure AI system security and compliance
- Integrate AI APIs and backend services
- Perform prompt engineering
Perks/Benefits
- Bike to work
- Career coaching
- Educational assistance
- Employee assistance programme
- Employee discount
- Fitness classes
- Flexible working
- Gym discounts
- Incentivized certifications
- Life assurance
- Mentorship
- Mindfulness workshops
- Private healthcare
- Quarterly profit share
- Remote Working
Skills/Tech-stack
.NET | AI Act | API Integration | AWS SageMaker | Agent systems | Agile | Angular | Azure Machine Learning | CSS | EU AI | EU AI Act | End to End | End-to-End Testing | GDPR | GraphQL | HTML | Integration Testing | JavaScript | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | REST | React | Scrum | Semantic Kernel | TensorFlow | TypeScript | Unit Testing | Vue
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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