We are seeking a highly skilled Agentic AI Engineer to design and build intelligent automation solutions for large-scale enrollment and benefits administration systems. The platform currently processes over 15 million enrollment-related transactions, with approximately 80% of scenarios handled through deterministic rule-based automation and the remaining 20% requiring manual intervention.
The objective of this role is to leverage Agentic AI, LLMs, and machine learning techniques to:
Automate complex exception handling
Accelerate rule creation
Reduce testing effort
Continuously evolve the decisioning framework as new scenarios emerge in production
The ideal candidate will have strong expertise across:
AI/ML engineering
Full-stack development
MLOps
Workflow orchestration
Rule-engine modernization
Qualifications
Strong experience in Machine Learning, Generative AI, and Agentic AI systems
Expert-level Python development skills
Experience with business rule engines and decision management platforms
Experience with model deployment, monitoring, and lifecycle management
Strong analytical and problem-solving skills
Requirements
Experience building AI agents using LangGraph, LangChain, and OpenAI / Anthropic / Azure OpenAI ecosystems
Knowledge of probabilistic reasoning and AI-driven decision systems
Understanding of DMN (Decision Model and Notation) and XML-based rule representations
Experience with PyDMN or similar decision automation frameworks preferred
Knowledge of containerization and cloud-native architectures
Familiarity with ML observability and evaluation frameworks
Benefits
Health, dental, vision, life insurance, and disability plan eligibility from the first day of employment
Participation in the Company 401(k) Plan after 30 days of employment