Principal AI Engineer
Tasks
- Apply AI guardrails and evaluation metrics
- Build RAG-based applications
- Collaborate with software and biometrics teams
- Create document intelligence and summarization pipelines
- Deploy AI systems in production
- Design AI and agentic capabilities
- Develop predictive models
- Engineer prompts and evaluation harnesses
- Ensure data quality
- Implement multi-agent workflows
- Integrate AI capabilities into product platform
- Monitor performance cost and quality
- Process structured and unstructured clinical data
- Prototype LLM applications
- Provide subject matter expertise on generative AI
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Agent systems | Agentic Workflows | Azure | Deep learning | GCP | Hugging Face | Hugging Face Transformers | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | System Integration | Transformers
Education
Roles
Regions
Countries
States
Cities
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