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Medical Coding Using Ai Jobs in Austin, TX (NOW HIRING)

Kake Group

Senior AI Product Designer

Austin, TX · Remote

... using AI development tools. Key Responsibilities * Take design ownership on client projects ... Leverage AI coding tools to turn design decisions into functional, testable products rather than ...

ForeFlight

Principal AI Engineer

Austin, TX · On-site +1

$208K - $255K/yr

Proven experience using AI coding systems in production engineering environments * Hands-on ... Medical, dental, vision insurance with Employer paid health premiums * Open PTO Policy * 401(k) ...

IntraEdge

Agentic Software Engineer

Austin, TX

In addition, the engineer must be highly skilled at using AI coding assistants, autonomous agents, prompt-driven development workflows, test automation generation, code analysis, documentation ...

IntraEdge

Agentic Software Engineer

Austin, TX

In addition, the engineer must be highly skilled at using AI coding assistants, autonomous agents, prompt-driven development workflows, test automation generation, code analysis, documentation ...

Seekr

Senior Frontend Engineer - AI Platform

Austin, TX

$121K - $167K/yr

Proficient in using AI Coding assistants such as Claude Code, Codex, or Cursor to enhance productivity and code quality. * Familiarity with JavaScript/React infrastructure, including Node and NPM.

Oracle

Principal Software Engineer

Austin, TX · On-site

$133K - $179K/yr

Engineers on this team use AI assisted development, coding agents, and automation first workflows ... Rapidly prototype and productionize solutions using modern AI native development environments and ...

Miro

AI Integrations Engineer

Austin, TX · Remote

$103K - $138K/yr

Constantly ask, "How can this be simplified or accelerated using AI?" You will leverage modern AI developer tools (like Cursor, Claude Code, and Cowork) to ship code faster and build smarter ...

Tetra Computing

AI Architect

Austin, TX · On-site

$63 - $82/hr

Implement Infrastructure as Code using Terraform and Bicep. Drive cloud adoption strategies focused on reliability, security, cost optimization, and performance. AI & Generative AI Solutions Design ...

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How much do medical coding using ai jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for medical coding using ai in Austin, TX is $22.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $23.85 per hour, depending on experience, location, and employer.

What is the difference between Medical Coding Using Ai vs Medical Coding Specialist?

AspectMedical Coding Using AiMedical Coding Specialist
CredentialsNone required; relies on AI softwareCertification (e.g., CPC, CCS)
Work EnvironmentPrimarily digital, often remoteOffice or remote, depending on employer
Industry UsageUsed by healthcare providers and tech companiesEmployed by hospitals, clinics, insurance companies
Job FocusAI-driven coding automation and oversightManual coding, review, and compliance

Medical Coding Using Ai involves leveraging artificial intelligence to automate and assist coding tasks, reducing manual effort. In contrast, a Medical Coding Specialist manually reviews and assigns codes based on medical records, requiring certification and expertise. While AI enhances efficiency, specialists ensure accuracy and compliance. Both roles are vital in healthcare billing and coding workflows, often working together to optimize processes.

How does working with AI tools change the daily workflow for medical coders?

Integrating AI tools into medical coding streamlines many routine tasks, such as extracting relevant information from clinical notes and suggesting appropriate codes. This allows medical coders to focus more on complex cases, code validation, and quality assurance. Collaboration with IT specialists and healthcare providers may increase as coders provide feedback on AI system performance and help refine its accuracy. Adapting to new technologies can be a challenge at first, but it often leads to improved productivity, fewer manual errors, and opportunities for professional development in health informatics.

What is medical coding using AI?

Medical coding using AI refers to the application of artificial intelligence technologies to automate the process of translating healthcare diagnoses, procedures, and services into standardized codes. AI-powered systems use natural language processing and machine learning to analyze clinical documentation and accurately assign the appropriate medical codes. This helps healthcare providers improve efficiency, reduce errors, and ensure proper billing and reimbursement. As AI continues to evolve, it is increasingly being integrated into healthcare revenue cycle management to streamline operations and support compliance.

What are the key skills and qualifications needed to thrive as a medical coding using AI specialist?

To thrive as a Medical Coding Using AI specialist, you need a strong understanding of medical terminology, coding standards (like ICD-10 and CPT), and healthcare compliance, often supported by a certification such as CPC or CCS. Familiarity with AI-based coding platforms, electronic health records (EHR) systems, and healthcare data analytics tools is typically required. Analytical thinking, attention to detail, and adaptability are crucial soft skills for interpreting complex records and working with evolving technologies. These skills ensure accurate, efficient coding and compliance with regulations, enabling healthcare organizations to optimize billing and patient care.
What are popular job titles related to Medical Coding Using Ai jobs in Austin, TX? For Medical Coding Using Ai jobs in Austin, TX, the most frequently searched job titles are:
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What cities near Austin, TX are hiring for Medical Coding Using Ai jobs? Cities near Austin, TX with the most Medical Coding Using Ai job openings:
Medical Coding Using Ai jobs near you
Infographic showing various Medical Coding Using Ai job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $46,228 per year, or $22.2 per hour.

Software Engineer, AI Engineering Workflows

Jobtailor

Austin, TX • On-site

$130 - $190/hr

Other

Posted yesterday

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Job description

Responsibilities
  • Design, build, and maintain AI-assisted developer productivity tools, code quality automation, and modern CI/CD infrastructure.
  • Translate software development requirements into clear software designs, internal developer APIs, and repository templates.
  • Lead technical design discussions and establish safe, practical standards for using AI-generated code and agentic tools across the department.
  • Proactively address code quality, testing, and reliability gaps by building robust automated testing frameworks and code-review gating systems.
  • Write clear runbooks, documentation, and training guides to help engineering teams adopt AI-assisted development tools responsibly.
  • Collaborate with other software teams to systematically debug complex issues across system boundaries and ensure safe release processes.
Requirements
  • An independent software engineer who can own a distinct system, feature, or service from design to production.
  • Hands‑on experience using AI‑assisted development tools and writing software automation or integrations.
  • Experience in software quality practices, automated testing, code review, and modern CI/CD pipelines.
  • Write clean, readable, and documented code that follows established engineering patterns.
  • Proficiency in modern programming languages (such as Python, C++) and web service development.
  • Solid understanding of software architecture, APIs, repository structure, and CI/CD automation.
  • Communicate complex technical concepts in simple, clear language to both technical and non‑technical partners.
  • Effective in ambiguous or changing priority environments and translate loose needs into structured software plans.
  • High curiosity and an active growth mindset to learn new technical domains.
  • Provide constructive, detailed feedback in code reviews and mentor other engineers on tooling and best practices.
  • Preferred: experience building developer experience platforms, internal tools, repository templates, or custom engineering infrastructure.
  • Preferred: experience with agentic coding frameworks, prompt engineering, or LLM‑based development APIs.
  • Preferred: experience in high‑complexity engineering environments where software closely interacts with hardware or scientific instruments.
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