- - Design develop and deploy LLM-based applications for clinical and operational workflows (summarization chat reasoning data extraction).
- - Implement and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (FAISS Pinecone or Vertex AI Matching Engine).
- - Work hands-on with LLM APIs (OpenAI Claude Gemini Mistral Llama) for fine-tuning evaluation and productionization.
- - Build and maintain AI microservices / APIs using FastAPI or Flask integrated with Folds Unity platform.
- - Implement Agentic AI workflows (multi-step reasoning tool use and task orchestration) using frameworks such as LangGraph CrewAI or Semantic Kernel.
- - Collaborate with the Data Engineering and Product teams to ensure seamless integration of models with curated EHR and FHIR data.
- - Conduct model evaluation and benchmarking (factual accuracy hallucination control latency).
- Follow HIPAA-compliant development practices and ensure PHI safety and responsible AI usage
Requirements
Must have:
- Knowledge of Agentic AI use cases autonomous task handling reasoning chains planning-execution loops.
- Understanding of healthcare data formats (FHIR HL7 clinical notes) is highly preferred.
Good to Have
- Knowledge of MLOps continuous evaluation pipelines or model observability.
- Experience integrating AI features into SaaS or API-first products.
- Prior exposure to healthcare AI clinical NLP or population health analytics
Required Skills:
Knowledge of Agentic AI use cases autonomous task handling reasoning chains planning-execution loops. Understanding of healthcare data formats (FHIR HL7 clinical notes) is highly preferred.
Required Education:
Bachelors or Masters degree in Computer Science Software Engineering or related HaveKnowledge of MLOps continuous evaluation pipelines or model integrating AI features into SaaS or API-first exposure to healthcare AI clinical NLP or population health analytics
- Design develop and deploy LLM-based applications for clinical and operational workflows (summarization chat reasoning data extraction).- Implement and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (FAISS Pinecone or Vertex AI Matching Engine).- Work hands-on with LL...
- - Design develop and deploy LLM-based applications for clinical and operational workflows (summarization chat reasoning data extraction).
- - Implement and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (FAISS Pinecone or Vertex AI Matching Engine).
- - Work hands-on with LLM APIs (OpenAI Claude Gemini Mistral Llama) for fine-tuning evaluation and productionization.
- - Build and maintain AI microservices / APIs using FastAPI or Flask integrated with Folds Unity platform.
- - Implement Agentic AI workflows (multi-step reasoning tool use and task orchestration) using frameworks such as LangGraph CrewAI or Semantic Kernel.
- - Collaborate with the Data Engineering and Product teams to ensure seamless integration of models with curated EHR and FHIR data.
- - Conduct model evaluation and benchmarking (factual accuracy hallucination control latency).
- Follow HIPAA-compliant development practices and ensure PHI safety and responsible AI usage
Requirements
Must have:
- Knowledge of Agentic AI use cases autonomous task handling reasoning chains planning-execution loops.
- Understanding of healthcare data formats (FHIR HL7 clinical notes) is highly preferred.
Good to Have
- Knowledge of MLOps continuous evaluation pipelines or model observability.
- Experience integrating AI features into SaaS or API-first products.
- Prior exposure to healthcare AI clinical NLP or population health analytics
Required Skills:
Knowledge of Agentic AI use cases autonomous task handling reasoning chains planning-execution loops. Understanding of healthcare data formats (FHIR HL7 clinical notes) is highly preferred.
Required Education:
Bachelors or Masters degree in Computer Science Software Engineering or related HaveKnowledge of MLOps continuous evaluation pipelines or model integrating AI features into SaaS or API-first exposure to healthcare AI clinical NLP or population health analytics
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