Senior AI/LLM Engineer
Tasks
- Build agentic workflows for clinical multi step tasks
- Collaborate with clinicians and product managers on requirements
- Design develop deploy LLM powered healthcare applications
- Develop and evaluate prompt engineering and LLM evaluation methods
- Engineer features and preprocess medical datasets
- Ensure HIPAA compliance and ethical AI practices
- Ground LLM responses in healthcare knowledge retrieval
- Implement MLOps and LLMOps with version control CI CD and monitoring
- Integrate multi modal clinical data into unified workflows
- Orchestrate tool use and dynamic context for agents
- Profile and optimize performance of data workflows and application code
- Write Python code for data handling model serving and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Agent systems | Agno | Azure | CI/CD | Cloud platform | CrewAI | Data Analysis | Data Processing | Data Processing Pipelines | Data profiling | Docker | Exploratory Data Analysis | FHIR | Feature Engineering | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | LLM Evaluation | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Multi-Agent | Multi-Agent Systems | NumPy | Pandas | Performance Monitoring | Processing pipelines | Prompt engineering | Python | Retrieval-Augmented Generation | Statistical Reasoning | Version control
Education
Roles
AI | AI Application Engineer | AI Engineer | Application Engineer | Engineer | LLM Engineer | Senior AI Engineer
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