Senior AI Engineer
Tasks
- Build LLM powered multi agent applications
- Create evaluation methods for AI feature quality
- Develop AI-powered product features
- Develop FastAPI services
- Ensure safety and clinical quality of AI outputs
- Implement AI observability and monitoring
- Implement RAG and vector database workflows
- Measure accuracy quality and safety using metrics
- Perform LLM fine-tuning
- Write and test effective prompts
Perks/Benefits
- Additional day off on World Mental Health Day
- Birthday day off
- Company retreats
- Coworking sessions
- Discounted psychotherapy sessions
- Free online language training
- Home workstation budget
- Parental leave
- Team building events
- Work from anywhere
Skills/Tech-stack
Agent systems | Deep learning | FastAPI | Fine Tuning | LLM Fine-tuning | Langchain | Langfuse | Language Models | Large Language Models | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Pandas | Prompt engineering | PyTorch | PydanticAI | Python | RAG | Scikit-learn | Vector Databases
Education
N/A
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