Agentic AI Engineer

Role Description

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
• 11 paid holidays
• 12 weeks of Parental Leave
• “Free time” PTO policy for sick time or vacation