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

Senior Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

But we're an AI-native company, and we expect you to use AI-assisted development (Claude Code) as a ... Write internal tooling and automation using AI-assisted development workflows * Partner closely ...

Senior Java AI Developer

Austin, TX · On-site

$56.75 - $72.25/hr

... design, code reviews, and engineering standards. * Hands-on experience using AI-assisted ... Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life ...

DevOps Expert - Remote

Austin, TX · Remote

$30 - $80/hr

Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. * Strong ability to evaluate technical processes and provide actionable ...

Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows. * Strong ability to evaluate technical processes and provide actionable ...

Senior AI Engineer

Austin, TX · On-site

$121K - $160K/yr

Experience using AI-assisted development tools while maintaining high standards for code quality ... Comprehensive Health insurance package including 100% employer-paid medical coverage * Up to 12 ...

Software Engineer II - WSSI

Austin, TX · On-site

$133K - $219K/yr

Build secure, scalable, compliant code using AI; review human- and AI-generated code. * Utilize ... color, family or medical care leave, gender identity or expression, genetic information ...

You'll also be comfortable moving between design and code, using AI coding tools to rapidly prototype ideas, ship production-ready UI, and continuously improve the platform our internal products are ...

Data & AI Solutions Engineer

Austin, TX · On-site

$113K - $136K/yr

Design, develop, and maintain scalable enterprise data pipelines using Azure Data Factory ... Please refer to UTIMCO's Code of Ethics for additional information regarding these requirements. If ...

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 ...

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 ...

Senior Frontend Engineer - AI Platform

Austin, TX · On-site

$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.

Showing results 41-60

Medical Coding Using Ai information

See Leander, TX salary details

$15

$21

$32

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

As of Sep 14, 2026, the average hourly pay for medical coding using ai in Leander, TX is $21.42, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.98 per hour, depending on experience, location, and employer.

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.

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 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 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.

What cities near Leander, TX are hiring for Medical Coding Using Ai jobs?

Cities near Leander, TX with the most Medical Coding Using Ai job openings:

Infographic showing various Medical Coding Using Ai job openings in Leander, 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 $44,563 per year, or $21.4 per hour.

Senior Site Reliability Engineer

Austin, TX • On-site

$56.50 - $75/hr

Other

Medical, Retirement, PTO

Posted 13 days ago


Job description

About Satsuma

Satsuma is a commerce iPaaS that builds merchant-specific APIs, MCP Servers, and MCP Apps, enabling retailers to connect their full commerce stack once and deploy branded shopping experiences across every AI channel. We work with enterprise retailers and move fast. Our infra has to match.

The role

We're looking for a Senior SRE to own the reliability, scalability, and operational posture of Satsuma's multi-cloud infrastructure. You'll be the person who keeps things running, builds the systems that prevent fires, and makes on-call not terrible.

This is an infra-first role. But we're an AI-native company, and we expect you to use AI-assisted development (Claude Code) as a core part of your workflow — writing tooling, automating runbooks, building internal utilities.

What you'll do
  • Own infrastructure across AWS, GCP, and Azure environments
  • Build and maintain CI/CD pipelines, observability stacks, and incident response workflows
  • Define and enforce SLOs/SLIs; lead postmortems
  • Author and maintain IaC (Terraform preferred)
  • Write internal tooling and automation using AI-assisted development workflows
  • Partner closely with engineering on reliability reviews and architecture decisions
  • 5-8 years in SRE, DevOps, or infrastructure engineering
  • Hands-on experience across at least two major cloud providers
  • Strong Kubernetes, Terraform, and observability tooling (Datadog, Grafana, or equivalent)
  • Comfortable reading and editing code; able to ship scripts and internal tools
  • Experience with AI-assisted development (Copilot, Cursor, Claude Code)
  • On-call maturity -- you've owned incidents end-to-end and made systems better afterward
  • Prior experience at a startup or high-growth SaaS company
  • Familiarity with API gateway infrastructure or commerce tech stacks
  • Hands-on experience with MCP or agentic AI infrastructure
  • Unlimited PTO
  • 401(K)
  • Healthcare Stipend
  • Gym stipend
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