Jobs via Dice
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Data Capital Inc, is seeking the following.
Responsibilities & Qualifications
Define, design, and implement Agent-to-Agent (A2A) protocols to allow autonomous collaboration, negotiation, and task delegation between specialized agents (e.g. ClaimsAgent, EligibilityAgent, ProviderMatchAgent)
At least 7 years of applied AI experience, especially in LLMs, transformer architectures, agents, or advanced NLP in applied settings
Demonstrated hands‑on experience building or deploying Agent-to-Agent protocols, multi‑agent orchestration tools (LangGraph, AutoGen, CrewAI, or equivalent)
Experience designing and operationalizing Model Context Protocol (MCP) or similar long‑term memory & context systems for agents
Strong software engineering skills in Python and proficiency in frameworks/libraries such as Hugging Face Transformers, PyTorch, LangChain, spaCy, etc.
Domain knowledge in healthcare / benefits: claims systems, eligibility rules, clinical data, structured standards like FHIR, HL7, ICD/CPT, X12 EDI
Cloud‑native experience (AWS / Azure / Google Cloud Platform), containerization (Docker / Kubernetes), CI/CD, and deployment of model pipelines
Excellent communication, problem‑solving skills, and ability to engage across technical and domain teams
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Software Development
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Responsibilities & Qualifications
Define, design, and implement Agent-to-Agent (A2A) protocols to allow autonomous collaboration, negotiation, and task delegation between specialized agents (e.g. ClaimsAgent, EligibilityAgent, ProviderMatchAgent)
At least 7 years of applied AI experience, especially in LLMs, transformer architectures, agents, or advanced NLP in applied settings
Demonstrated hands‑on experience building or deploying Agent-to-Agent protocols, multi‑agent orchestration tools (LangGraph, AutoGen, CrewAI, or equivalent)
Experience designing and operationalizing Model Context Protocol (MCP) or similar long‑term memory & context systems for agents
Strong software engineering skills in Python and proficiency in frameworks/libraries such as Hugging Face Transformers, PyTorch, LangChain, spaCy, etc.
Domain knowledge in healthcare / benefits: claims systems, eligibility rules, clinical data, structured standards like FHIR, HL7, ICD/CPT, X12 EDI
Cloud‑native experience (AWS / Azure / Google Cloud Platform), containerization (Docker / Kubernetes), CI/CD, and deployment of model pipelines
Excellent communication, problem‑solving skills, and ability to engage across technical and domain teams
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Software Development
#J-18808-Ljbffr