Senior LLM Engineer
Not Disclosed•Full-TimeOn-site
location_onCrooms Drive, Lanier Heights, Macon, Bibb County, Georgia, 31217, United States
About the Role
The Senior Product Manager, Agentic AI will lead the strategy, design, and execution of autonomous and semi-autonomous AI agents within a regulated healthcare environment. This role focuses on transforming manual workflows into AI-orchestrated systems that improve efficiency and quality while adhering to strict clinical safety and compliance guardrails.
You will define the long-term roadmap for agentic AI capabilities, including multi-agent orchestration and personalized digital front-door experiences. Your work involves identifying high-friction manual tasks and decomposing them into intents and data dependencies suitable for agentic execution. Partnering closely with engineering, you will define agent architecture, including retrieval-augmented generation (RAG), tool usage, memory, and state management.
A critical part of your day-to-day is ensuring all agent behaviors align with HIPAA, clinical safety standards, and promotional review committee (PRC) requirements. You will standardize Human-in-the-Loop (HIL) patterns and escalation paths to ensure agents are reliable, auditable, and trustworthy. Additionally, you will own evaluation frameworks and track KPIs related to resolution accuracy, engagement, and operational efficiency.
Application Process
For applications and inquiries, please contact hirings@openkyber.com.
Work location
Work model: On-site
Crooms Drive, Lanier Heights, Macon, Bibb County, Georgia, 31217, United States
Macon, Georgia
Key Responsibilities
- check_circleDefine long-term roadmap for agentic AI capabilities and multi-agent orchestration
- check_circleIdentify high-friction manual tasks and decompose them for agentic execution
- check_circlePartner with engineering to define agent architecture including RAG and state management
- check_circleEnsure all agent behaviors align with HIPAA, clinical safety standards, and PRC requirements
- check_circleStandardize human-in-the-loop patterns and escalation paths for reliable agent operation
- check_circleOwn evaluation frameworks and track KPIs related to resolution accuracy and operational efficiency
Requirements
- verifiedBachelor's degree in CS, Engineering, Mathematics, or related technical field
- verified7+ years of product management experience
- verified5 years focused on AI/ML systems or intelligent automation
- verifiedPractical understanding of LLMs, agentic frameworks (e.g., LangChain, AutoGen), and Model Context Protocol (MCP)
Nice to Have
Proven track record of deploying AI solutions in healthcare, life sciences, or financial services. Experience building internal AI infrastructure or platforms used by multiple cross-functional teams. Familiarity with clinical safety standards, EHR integrations (e.g., FHIR APIs), and healthcare-specific compliance.
Similar Job Opportunities
Skills, education and keywords
Skills: Agentic Ai, Multi-Agent Orchestration, Retrieval-Augmented Generation, Rag, LLM-As-A-Judge, LLMS, Agentic Frameworks, Langchain, Autogen, Model Context Protocol.
Education: Bachelor's degree in CS, Engineering, Mathematics, or related technical field required.
Frequently asked questions about Senior LLM Engineer at Openkyber
What does a Senior LLM Engineer at Openkyber do?expand_more
Day-to-day, the Senior LLM Engineer at Openkyber will define long-term roadmap for agentic ai capabilities and multi-agent orchestration; identify high-friction manual tasks and decompose them for agentic execution; partner with engineering to define agent architecture including rag and state management; and ensure all agent behaviors align with hipaa, clinical safety standards, and prc requirements.
What are the requirements for this Senior LLM Engineer role?expand_more
To qualify for the Senior LLM Engineer at Openkyber position, applicants should have: Bachelor's degree in CS, Engineering, Mathematics, or related technical field; 7+ years of product management experience; 5 years focused on AI/ML systems or intelligent automation; and Practical understanding of LLMs, agentic frameworks (e.g., LangChain, AutoGen), and Model Context Protocol (MCP).
Where is the Senior LLM Engineer role at Openkyber located?expand_more
Senior LLM Engineer at Openkyber is based in Crooms Drive, Lanier Heights, Macon, Bibb County, Georgia, 31217, United States. This is a on-site role.
Is this Senior LLM Engineer job remote, hybrid, or on-site?expand_more
Openkyber has listed this Senior LLM Engineer role as on-site.
How much experience is required for this Senior LLM Engineer role?expand_more
Senior LLM Engineer at Openkyber typically requires 7+ years of relevant experience at the senior level.
What skills do you need for the Senior LLM Engineer role at Openkyber?expand_more
Key skills for Senior LLM Engineer at Openkyber include Agentic Ai; Multi-Agent Orchestration; Retrieval-Augmented Generation; Rag; LLM-As-A-Judge; LLMS; Agentic Frameworks; and Langchain.
What education is required for Senior LLM Engineer at Openkyber?expand_more
Educational requirements for this role: Bachelor's degree in CS, Engineering, Mathematics, or related technical field required.
What category does the Senior LLM Engineer role belong to?expand_more
Senior LLM Engineer at Openkyber is part of the it job category on Recrutus.