Agentic AI Developer

CHIRAL AI; United States; On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Meaningful ESOP ownership

Performance-linked bonuses

Job summary

CHIRAL AI is seeking an Agentic AI Developer to design and deploy autonomous AI systems capable of reasoning, planning, and executing complex workflows for healthcare applications such as risk adjustment and prior authorization.

You will build LLM-powered applications, implement evaluation loops, and work with Python, distributed systems, and prompt engineering to deliver production-grade agents that improve workflow efficiency and ROI.

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

Tools

APIs

RAG pipelines

LLMs

Job description

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.

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