Nukasani Group Inc
Need submission details for Senior Data Scientist AI Agent Arch
Nukasani Group Inc, Woodland Hills, California, United States, 91399
Dear Partner,
Good Morning ,Greetings from Nukasani group Inc !, We have below urgent long term contract project immediately available forSenior Data Scientist
AI Agent Architectures, LLMs, NLP, Woodland Hills, CA, Onsite need submissions you please review the below role, if you are available, could you please send me updated word resume, and below candidate submission format details, immediately. If you are not available, any referrals would be greatly appreciated.
Interviews are in progress, urgent response is appreciated. Looking forward for your immediate response and working with you.
Candidate Submission Format - needed from youFull Legal NamePersonal Cell No ( Not google phone number)Email IdSkype IdInterview AvailabilityAvailability to start, if selectedCurrent LocationOpen to RelocateWork AuthorizationTotal Relevant ExperienceEducation./ Year of graduationUniversity Name, LocationLast 4 digits of SSNCountry of BirthContractor Type
: mm/dd
Home Zip Code
Assigned Job Details
Job Title : Senior Data Scientist
AI Agent Architectures, LLMs, NLPLocation: Woodland Hills, CA, OnsiteRate : Best competitive rate
About the Role
We are seeking a highly experienced Senior Data Scientist with deep expertise in AI agent frameworks, large language models (LLMs), and natural language processing (NLP), particularly within the healthcare domain. You will lead the design and development of intelligent, autonomous agents leveraging cutting-edge technologies like Agent-to-Agent (A2A) protocols and Model Context Protocols (MCP This is a strategic, hands-on role focused on building scalable, context-aware, and interoperable AI systems in clinical and administrative healthcare environments.
Key Responsibilities
Agent Frameworks:Design and implement Agent-to-Agent (A2A) protocols to enable autonomous collaboration, task delegation, and negotiation across specialized agents (e.g., ClaimsAgent, EligibilityAgent
Model Context Protocols (MCP):Architect and deploy MCP pipelines that support long-lived, memory-augmented interactions for multi-turn conversations in healthcare workflows.
Multi-Agent Systems:Build intelligent, orchestrated systems powered by LLM-driven planning to streamline clinical summarization, prior authorizations, benefit processing, and member engagement.
Domain-Specific LLM/NLP:Fine-tune and operationalize specialized models such as medical BERT orBioGPT for clinical document understanding, intent classification, and plan personalization.
Knowledge Retrieval & Grounding:Develop retrieval-augmented generation (RAG) frameworks using structured (FHIR, ICD/CPT) and unstructured sources (EHR notes, chat logs
Compliance & Security:Partner with engineering teams to build HIPAA-, CMS-, and NCQA-compliant pipelines with explainable AI capabilities.
Research & Innovation:Lead prototyping in memory-based agent systems, RLHF, andcontext-aware AI planning.
Production Deployment:Contribute to robust MLOps pipelines for version control, model monitoring, and continuous improvement.
Required Qualifications
Education:
Masters or Ph.D. in Computer Science, Machine Learning, NLP, or related field.
Experience:
7+ years in applied AI with a strong focus onLLMs, transformers, NLP, and agent-based frameworks in healthcare.
Proven experience with A2A protocols, LangGraph,AutoGen, or CrewAI.
Hands-on development with Model Context Protocols (MCP) and memory management architectures.
Strong programming skills in Python and libraries such as Hugging Face Transformers, PyTorch, LangChain, spaCy, etc.
Solid understanding of healthcare data standards: FHIR, HL7, ICD-10/CPT, X12 EDI formats.
Cloud-native development experience on AWS, Azure, or GCP, withKubernetes, Docker, and CI/CD pipelines.
Preferred Qualifications
Deep expertise in MCP + VectorDB integration for dynamic agent memory and retrieval.
Experience with production-level LLM-based agents in healthcare or enterprise settings.
Background in voice AI, AI triage tools, or automated care navigation.
Published research or patents in LLM architectures, agent systems, or contextual AI frameworks.
With Gratitude,Bhavani Recruiting Manager | Nukasani Group Inc |Email: 540 W Galena Blvd, Suite 200, Aurora IL 60506.People, Process, Technology IntegratorAn E-Verified Company
Good Morning ,Greetings from Nukasani group Inc !, We have below urgent long term contract project immediately available forSenior Data Scientist
AI Agent Architectures, LLMs, NLP, Woodland Hills, CA, Onsite need submissions you please review the below role, if you are available, could you please send me updated word resume, and below candidate submission format details, immediately. If you are not available, any referrals would be greatly appreciated.
Interviews are in progress, urgent response is appreciated. Looking forward for your immediate response and working with you.
Candidate Submission Format - needed from youFull Legal NamePersonal Cell No ( Not google phone number)Email IdSkype IdInterview AvailabilityAvailability to start, if selectedCurrent LocationOpen to RelocateWork AuthorizationTotal Relevant ExperienceEducation./ Year of graduationUniversity Name, LocationLast 4 digits of SSNCountry of BirthContractor Type
: mm/dd
Home Zip Code
Assigned Job Details
Job Title : Senior Data Scientist
AI Agent Architectures, LLMs, NLPLocation: Woodland Hills, CA, OnsiteRate : Best competitive rate
About the Role
We are seeking a highly experienced Senior Data Scientist with deep expertise in AI agent frameworks, large language models (LLMs), and natural language processing (NLP), particularly within the healthcare domain. You will lead the design and development of intelligent, autonomous agents leveraging cutting-edge technologies like Agent-to-Agent (A2A) protocols and Model Context Protocols (MCP This is a strategic, hands-on role focused on building scalable, context-aware, and interoperable AI systems in clinical and administrative healthcare environments.
Key Responsibilities
Agent Frameworks:Design and implement Agent-to-Agent (A2A) protocols to enable autonomous collaboration, task delegation, and negotiation across specialized agents (e.g., ClaimsAgent, EligibilityAgent
Model Context Protocols (MCP):Architect and deploy MCP pipelines that support long-lived, memory-augmented interactions for multi-turn conversations in healthcare workflows.
Multi-Agent Systems:Build intelligent, orchestrated systems powered by LLM-driven planning to streamline clinical summarization, prior authorizations, benefit processing, and member engagement.
Domain-Specific LLM/NLP:Fine-tune and operationalize specialized models such as medical BERT orBioGPT for clinical document understanding, intent classification, and plan personalization.
Knowledge Retrieval & Grounding:Develop retrieval-augmented generation (RAG) frameworks using structured (FHIR, ICD/CPT) and unstructured sources (EHR notes, chat logs
Compliance & Security:Partner with engineering teams to build HIPAA-, CMS-, and NCQA-compliant pipelines with explainable AI capabilities.
Research & Innovation:Lead prototyping in memory-based agent systems, RLHF, andcontext-aware AI planning.
Production Deployment:Contribute to robust MLOps pipelines for version control, model monitoring, and continuous improvement.
Required Qualifications
Education:
Masters or Ph.D. in Computer Science, Machine Learning, NLP, or related field.
Experience:
7+ years in applied AI with a strong focus onLLMs, transformers, NLP, and agent-based frameworks in healthcare.
Proven experience with A2A protocols, LangGraph,AutoGen, or CrewAI.
Hands-on development with Model Context Protocols (MCP) and memory management architectures.
Strong programming skills in Python and libraries such as Hugging Face Transformers, PyTorch, LangChain, spaCy, etc.
Solid understanding of healthcare data standards: FHIR, HL7, ICD-10/CPT, X12 EDI formats.
Cloud-native development experience on AWS, Azure, or GCP, withKubernetes, Docker, and CI/CD pipelines.
Preferred Qualifications
Deep expertise in MCP + VectorDB integration for dynamic agent memory and retrieval.
Experience with production-level LLM-based agents in healthcare or enterprise settings.
Background in voice AI, AI triage tools, or automated care navigation.
Published research or patents in LLM architectures, agent systems, or contextual AI frameworks.
With Gratitude,Bhavani Recruiting Manager | Nukasani Group Inc |Email: 540 W Galena Blvd, Suite 200, Aurora IL 60506.People, Process, Technology IntegratorAn E-Verified Company