Agentic AI Devloper

CHIRAL AI; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

ESOP ownership

Performance bonuses

Competitive salary

Job summary

CHIRAL AI is seeking an Agentic AI Developer to design and deploy autonomous AI systems for healthcare workflows. You will build reasoning, planning, and execution capabilities to tackle risk adjustment, prior authorization, and care gap closure.

The role emphasizes Python proficiency, system design expertise, and experience with LLMs, APIs, and distributed systems. You will craft robust evaluation loops and contribute to continuous improvement and ROI in healthcare processes.

Qualifications

• Strong Python and system design skills.
• Experience with LLMs, APIs, and distributed systems.
• Understanding of prompt engineering and RAG pipelines.

Responsibilities

• Design and implement agentic architectures
• Build LLM-powered applications with high accuracy and reliability
• Develop evaluation and feedback loops for continuous improvement

Skills

Python

System design

LLMs

APIs

Distributed systems

Prompt engineering

RAG pipelines

Job description

Building the Future of Autonomous Healthcare Systems

As an Agentic AI Developer, you will design and deploy autonomous AI systems capable of reasoning, planning, and executing complex workflows.You will work on real-world healthcare problems such as risk adjustment, prior authorization, and care gap closure.

Company Overview:

We are building a category-defining Agentic AI platform focused on transforming healthcare outcomes across Medicare Advantage and value-based care.Our mission is to deploy autonomous AI agents that directly improve clinical, financial, and operational performance for payers and providers.

Core Mandate:

Key Responsibilities:

• Design and implement agentic architectures
• Build LLM-powered applications with high accuracy and reliability
• Develop evaluation and feedback loops for continuous improvement

What We're Looking For:

• Strong Python and system design skills
• Experience with LLMs, APIs, and distributed systems
• Understanding of prompt engineering and RAG pipelines

Success Metrics:

• Deploy production-grade AI agents
• Achieve 15–30% improvement in workflow efficiency
• Demonstrate measurable ROI in healthcare workflows

Compensation & Equity:

• Competitive salary
• Meaningful ESOP ownership
• Performance-linked bonuses tied to product and ROI outcomes