Applied AI Engineer
Tasks
- Build evaluation pipelines
- Deploy and maintain ML solutions on cloud
- Design and implement autonomous AI agents
- Develop memory and context management
- Explore autonomous agent opportunities
- Implement multi-agent systems
- Integrate machine learning solutions into products
- Measure and track agent performance
- Optimize and deploy LLM-based agents
- Stay current with large language models
Perks/Benefits
- Additional medical care
- Flexible working hours
- Multisport card
- Office exchange policy
- Office massage
- Paid time off
- Personal assistant service
- Product access
- Team events
- Work from home
Skills/Tech-stack
Agent systems | Agentic Workflows | Deep learning | Feature Engineering | Fine Tuning | GCP | GenAI | LLM Reasoning | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Fine-tuning | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | REST APIs | Security | Text Representation | Transformer
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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