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

Socket.dev

AI Development Software Engineer

Houston, TX · On-site

$110 - $190/hr

In this role, you will use AI coding assistants, agents, automated testing support, documentation ... Instead, it is about using AI to step‑change how software is engineered, enabling faster delivery ...

New

Hobbsnews

Senior AI Engineer

Spring, TX · On-site

$137 - $315/hr

Practical experience using AI coding tools (GitHub Copilot, ChatGPT, Claude, or similar) in software development workflows * Experience delivering automation or developer tooling used by multiple ...

New

Jobtailor

AI Solutions Architect

Houston, TX · On-site

$120 - $180/hr

Write production-quality code using Python, C#, .NET, React.js, and Node.js. * Build prototypes, proof of concepts, APIs, backend services, frontend components, and AI integrations. * Review code ...

New

Libsys, Inc.

AI Architect

Houston, TX · On-site

$60.75 - $79/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

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All JobsMedical Coding Using Ai JobsMedical Coding Using Ai Jobs in Houston, TX

Medical Coding Using Ai information

See Houston, TX salary details

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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 Houston, TX is $21.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.93 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.
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Medical Coding Using Ai jobs near you

Gen AI Engineer

Laiba Technologies LLC

Houston, TX • On-site

Other

Posted 3 days ago

New

Job description

Job Title : Gen AI Engineer

Location : Houston, Texas (Oniste)

8+

What you will do:

• Build agentic features, hands-on. Work alongside senior engineers to design and ship AI-powered remediation capabilities: agent workflows, retrieval pipelines, evaluation loops.

• Write production code daily. Java/Spring Boot microservices and AI integrations on AWS.

• Learn the full lifecycle. From an idea in a design doc to something running in production, instrumented, monitored, and improved based on real usage.

• Bring fresh eyes. You''re closer to the newest models, frameworks, and techniques than engineers who''ve been heads-down in one stack for a decade — we want that perspective in the room, not just deference to seniority.

• Grow fast. Work directly with senior engineers who''ll push your technical depth, and take on more ownership as you earn it.

Our stack

• Java / Spring Boot microservices on AWS (Lambda, SQS, SNS, IAM, CloudWatch). AI stack: AWS Bedrock and AgentCore, MCP for tool integration, RAG pipelines with vector and graph-based retrieval, LLM-as-judge evaluation. Some Python and Go at the edges. You won''t know all of this — we''re more interested in how fast you pick things up than what''s already on your resume.

What you will bring:

• 4+ years building software professionally — you''ve shipped real features, not just coursework or side projects, and you understand what "production" demands.

• Genuine curiosity about AI/agentic systems — you''ve built something with LLMs or agents, even outside of work: a side project, a hackathon entry, an experiment that didn''t ship. We want to hear about it.

• Solid engineering fundamentals — distributed systems basics, APIs, cloud infrastructure (AWS). You need to know what good code and good design look like.

• You experiment and iterate ideas quickly and bring new perspectives 

 
Nice to have

• Experience with multiple LLM APIs or agent frameworks• Python or Go • POCs using AI for coding, automation, or data work • Contributions to open source AI/ML tooling.

 

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