AI Engineer | Mid-senior
Tasks
- Assess model performance cost and metrics
- Build AI/ML features
- Collaborate with PMs on product delivery
- Design prompt-engineering workflows
- Develop Python AI applications
- Develop agentic systems
- Evaluate large language models
- Implement context management memory retrieval and agentic loops
- Lead AI/ML innovation
Perks/Benefits
- Additional paid leave
- Additional vacation days
- Flexible working hours
- Health and wellness support
- Private health insurance
- Professional development
Skills/Tech-stack
Agentic Systems | Context Management | Deep learning | Embeddings | Information Retrieval | LLM Evaluation | Language Models | Language Processing | Large Language Models | Machine Learning | Memory systems | Natural Language | Natural Language Processing | Prompt engineering | Python
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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