AI Engineer

Matic; United States; Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Equity grants

Job summary

Matic is hiring a senior AI/Python engineer to design, build, and upgrade AI systems across the care-to-collection platform. You will work on Python endpoints, APIs, and agentic frameworks, collaborating with physicians to ensure documentation matches expectations and improves patient care.

The role is full-time with a hybrid work model, offering ownership over real systems and the chance to impact doctors and their patients daily.

Qualifications

• Experience with LLMs, APIs, and endpoints in clinical or enterprise apps.
• Strong testing mindset and rigorous attention to detail in critical environments.
• Clear written and verbal English communication.

Responsibilities

• Design and build Python endpoints and APIs powering core system.
• Extend agentic frameworks for AI workflows.
• Create integrations between our platform and EHR systems.
• Test AI systems for quality and reliability.
• Onboard new customers and interface with physicians when issues arise.

Skills

LLMs

APIs

Endpoints

Testing mindset

English fluency

Tools

Google Cloud Platform

Firebase

Job description

About Matic
Matic is an AI-native clinical intelligence platform designed to orchestrate care-to-collection

workflows the way clinicians actually practice. Through a growing suite of modular AI agentic

solutions, Matic connects clinical documentation, summaries, coding, workflow, and follow-up

into a unified and connected intelligence layer that preserves clinical intent, reduces

fragmentation, and integrates seamlessly within existing physician systems. To learn more about

how Matic orchestrates intelligence across the care-to-collection lifecycle, visit maticinside.ai .

About the role

We are expanding our awesome engineering team by adding a senior AI/Python engineer to help design, build, and upgrade the advanced AI systems behind the Matic platform. Matic is a very powerful tool that works across panel management, chart preparation, documentation, clinical evidence, coding, inbox management, and follow-up to reduce complexity and help care flow more naturally. The quality and reliability of what you will build has a direct, daily impact on doctors and their patients.

As a growing startup, you'll wear more than one hat. Some days you're writing Python for the API layer, others you're deep in LLM prompting and evaluation, and others you're working directly with a physician to understand why a note didn't read the way they expected and fixing it. This is a full-time role, 5 days a week, and it suits someone who wants ownership over real systems rather than a narrow slice of one.

What you'll do

• Design and build Python endpoints and APIs that power our core system.
• Build and extend agentic frameworks that drive our AI workflows.
• Build integrations between our platform and electronic health record (EHR) systems.

AI Systems & Quality

• Work with a range of modern LLMs and hosting platforms to power our documentation engine.
• Test AI systems rigorously for quality. We cannot afford AI deployments that are broken.
• Continuously improve model outputs based on real-world clinical documentation needs.

Customer & Clinical Support

• Work with new customers as we onboard them onto the platform.
• Interact directly with physicians when the AI's documentation doesn't match expectations and fix the underlying issue.

Qualifications

Required

• Practical experience working with LLMs, APIs, and endpoints
• Rigorous attention to detail and a strong testing mindset; our systems operate in clinical environments where errors have real consequences, and we hold a strict "don't ship broken" standard regardless of how the code was written
• Fluent English with clear written and verbal communication skills — essential when working directly with clinical users

Preferred

• Experience with Google Cloud Platform
• Experience with Firebase

What Success Looks Like

In your first 90 days, you will have:

• Shipped Python endpoints and features into our production system
• Contributed meaningfully to our agentic AI frameworks
• Resolved physician feedback on documentation quality, end to end
• Built a working understanding of our EHR integration approach

Why This Role

• Join a fast-growing startup with equity grants alongside salary
• Make a meaningful difference in how physicians spend their time and how patients are cared for
• Work across the full stack of a real AI system, not just one narrow piece of it
• Collaborate with a small, sharp team that already spans WA, TX, CA, and UT
• Flexibility to work hybrid from our Dallas HQ or remote from anywhere in the US