Senior Engineer, AI

Key Skills: Agentic AI, Azure, AutoGen Framework, Ensemble, LangGraph, Ml Flow

Roles and Responsibilities:

• Design, build, and continuously improve production AI systems for complex healthcare workflows, including documentation, coding, denial management, appeals, and revenue cycle automation.
• Prototype new AI capabilities from 0 to 1, then harden them into reliable, explainable, auditable production systems with clear contracts, monitoring, evidence, and performance gates.
• Build rigorous evaluation and feedback loops using expert review, production logs, model outputs, and benchmarks to measure performance, regressions, reliability, cost, and business impact.
• Own outcomes end to end: understand the workflow, design the system, inspect failures, improve the system, and prove that the improvement matters.
• Set technical direction for a portfolio of projects, review designs, and mentor engineers as a technical lead.
• Partner with research, ML engineering, platform, and product teams on model selection, training, infrastructure, and Productionalization.
• Educational Qualifications

Skills Required:

• 5-10 years of Applied Research, ML engineering, research engineering, software engineering, or applied AI experience.
• A track record of shipping and operating production systems, ideally in ambiguous, high-stakes domains.
• Prior experience in healthcare, revenue cycle management, or other regulated industries is a plus, not a requirement.

Education:

• Bachelor’s degree in computer science, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.
• Master’s or PhD in Computer Science, AI/ML, or a related field is a plus.