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Medical Coding Using Ai Jobs in Delaware (NOW HIRING)

... Python code using AI frameworks • Follow MLOps best practices (CI/CD, automated deployment) • Ensure responsible AI practices (bias, fairness, ethics) • Mentor teams and contribute to ...

... using AI * Use AI as much as possible to automate your own process of creating this software ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

... using AI * Use AI as much as possible to automate your own process of creating this software ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

AI Automation Engineer -Remote

Smyrna, DE · On-site

$202K - $234K/yr

... using AI * Use AI as much as possible to automate your own process of creating this software ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

AI Automation Engineer -Remote

Newark, DE · On-site

$202K - $234K/yr

... using AI * Use AI as much as possible to automate your own process of creating this software ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

... using AI * Use AI as much as possible to automate your own process of creating this software ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

AI Automation Engineer -Remote

Dover, DE · On-site

$202K - $234K/yr

... using AI * Use AI as much as possible to automate your own process of creating this software ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

... using AI * Use AI as much as possible to automate your own process of creating this software ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Lead Software Engineer

Newark, DE · On-site +1

$128K - $200K/yr

Design and develop cloud and edge software solutions that integrate with AI-enabled medical devices ... Review code and technical deliverables to ensure alignment with design standards and quality ...

Lead Software Engineer

Newark, DE · On-site

$128K - $200K/yr

Design and develop cloud and edge software solutions that integrate with AI-enabled medical devices ... Review code and technical deliverables to ensure alignment with design standards and quality ...

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Showing results 1-20

Medical Coding Using Ai information

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 much do AI coders get paid?

Medical coders using AI typically earn between $40,000 and $70,000 annually, depending on experience, certification, and location. Advanced skills in coding software and AI tools can lead to higher salaries, especially in specialized or senior roles.

Will medical coding jobs be taken by AI?

Medical coding jobs involve translating clinical information into standardized codes and require attention to detail, critical thinking, and understanding of medical terminology. AI tools are increasingly used to assist with coding tasks, but human oversight remains essential to ensure accuracy and handle complex cases. Therefore, while AI may automate some aspects, medical coders will continue to play a vital role in the healthcare industry.

How is AI used in medical coding?

Medical coders using AI leverage machine learning algorithms to automate the translation of clinical documentation into standardized codes, increasing accuracy and efficiency. AI tools can assist in identifying relevant codes, reducing manual errors, and speeding up the coding process, often requiring familiarity with coding software and healthcare data standards.

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.

Which 3 jobs will survive AI?

Medical coding using AI is transforming the healthcare industry, but roles like medical coders, healthcare administrators, and clinical data managers are likely to persist due to the need for human oversight, complex decision-making, and ethical considerations. These jobs require critical thinking, certification, and adaptability to new tools, making them more resilient to automation.

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, and why are they important?

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 Delaware? For Medical Coding Using Ai jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Medical Coding Using Ai jobs in Delaware look for? The top searched job categories for Medical Coding Using Ai jobs in Delaware are:
What cities in Delaware are hiring for Medical Coding Using Ai jobs? Cities in Delaware with the most Medical Coding Using Ai job openings:
GenAI Engineer

GenAI Engineer

ClifyX

Wilmington, DE • On-site

Full-time

Posted 6 days ago


Job description

Job Summary:
ClifyX is a company focused on innovative AI solutions, and they are seeking a GenAI Engineer to design and develop AI/ML and Generative AI solutions for banking use cases. The role involves building and deploying ML models, collaborating with various teams, and ensuring compliance with regulatory standards.
Responsibilities:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
Qualifications:
Required:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation.
• Implement RAG-based GenAI applications using internal banking data.
• Develop scalable data pipelines for training, validation, and real-time inference.
• Collaborate with risk, compliance, finance, and business teams for AI solutions.
• Ensure regulatory compliance and AI governance standards.
• Implement data security, privacy, and access control mechanisms.
• Integrate AI models into production using APIs and microservices.
• Apply prompt engineering and model optimization techniques.
• Monitor model performance, drift detection, and continuous improvement.
• Develop explainable AI (XAI) for transparent decision-making.
• Optimize cost, latency, and scalability of AI systems.
• Troubleshoot AI/ML system issues across data and deployment layers.
• Write efficient Python code using AI frameworks.
• Follow MLOps best practices (CI/CD, automated deployment).
• Ensure responsible AI practices (bias, fairness, ethics).
• Mentor teams and contribute to enterprise AI platforms.
• Languages: Python
• AI/ML & GenAI: Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning
• Frameworks: TensorFlow, PyTorch
• GenAI Tools: LangChain, LlamaIndex
• Vector DB: Pinecone, FAISS
• Cloud Technologies: AWS / Azure / GCP
• Data Pipelines: ETL/ELT, Real-time & Batch Processing
• Integration: APIs, Microservices
• Concepts: RAG Architecture, XAI, Model Optimization
• Methodologies: Agile/Scrum, MLOps (CI/CD, Model Versioning, Deployment)
• Compliance: Banking regulations (SR 11-7, GDPR), Model Risk Management
• Soft Skills: Strong communication, stakeholder management, and analytical thinking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998