Artificial Intelligence Engineer

1 - 3 years

4 - 9 Lacs

Posted:23 hours ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Title: AI Engineer

  • Design, build, and deploy AI/ML models to support healthcare workflows such as

    Patient Intake

    ,

    Eligibility Verification

    ,

    Appointment Scheduling

    , and

    Billing Processes

    .
  • Develop AI-driven workflow engines and automations for end-to-end healthcare operations.
  • Optimize models for accuracy, speed, and reliability in real-world production environments.

Patient Intake Flow

  • Build and maintain automated solutions to handle patient demographics, insurance capture, consent forms, and intake validation.
  • Integrate intake flows with EHR/EMR systems (Epic, Athena, Cerner, or similar).
  • Ensure data accuracy, compliance, and error-handling for patient onboarding processes.

Billing Flow

  • Develop AI solutions to support claims creation, coding assistance, payment posting, and denial management.
  • Automate billing validation checkpoints using machine learning and rules-based logic.
  • Work with RCM teams to improve accuracy and turnaround time across billing processes.

Conversational AI

  • Build and train conversational AI models (ChatGPT-like systems, NLP pipelines, voicebots & chatbots).
  • Create intents, entities, and dialogue flows for patient queries, appointment requests, billing questions, etc.
  • Improve natural language understanding (NLU) for more human-like interactions.

Technical Integration & Collaboration

  • Work closely with product managers, data engineers, and healthcare domain experts to define requirements.
  • Integrate AI systems with APIs, databases, and third-party healthcare platforms.
  • Monitor model performance, troubleshoot production issues, and ensure continuous improvement.

Required Skillset & Qualifications

  • Strong experience with Python, AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), and NLP libraries (spaCy, NLTK, Transformers).
  • Hands-on experience building

    conversational AI

    using LLMs, RAG, vector databases, or chatbot frameworks.
  • Knowledge of healthcare workflows including

    Patient Intake

    ,

    Claims/Billing

    ,

    CPT/ICD coding

    , or RCM processes.
  • Experience designing workflow automation pipelines or AI-driven decision engines.
  • Understanding of REST APIs, JSON, microservices, and cloud platforms (Azure, AWS, GCP).

Soft Skills

  • Strong analytical and problem-solving ability.
  • Excellent communication and collaboration skills.
  • Ability to understand healthcare user journeys and convert them into functional AI-based solutions.

Preferred Qualifications

  • Experience with EHR/EMR integrations.
  • Knowledge of HIPAA compliance and healthcare data privacy.
  • Experience deploying AI models in production environments.

Why Join Us

  • Work in a rapidly growing healthcare automation environment.
  • Hybrid work model with flexibility.
  • Cutting-edge AI projects with real-world impact.
  • Opportunities for growth and innovation.

How to Apply

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