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AI Engineer (Implementation & Client Solutions)

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Onsite

AI Engineer (Implementation & Client Solutions)

Zonov.ai

AI Engineer (Implementation & Client Solutions)

Skills

Google Cloud PlatformPythonPyTorchTensorFlowData AnalysisMachine LearningAIAWSNo-code AutomationsComplianceAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Rajasthan, India

Work mode:

Onsite

Published on:

5 September 2026

What they need


About Zonov.ai

Zonov.ai is an AI-powered healthcare operations company building intelligent solutions for hospitals, multi-specialty clinics, and enterprise healthcare networks. Our platform combines Voice AI, intelligent workflow automation, real-time healthcare analytics, AI-assisted operational monitoring, and revenue-leakage detection to transform complex healthcare operations into connected, efficient digital workflows.

From clinical documentation and patient workflows to discharge summaries, coding support, claims processing, and operational intelligence, Zonov.ai helps healthcare organizations reduce administrative burden, improve efficiency, strengthen compliance readiness, and enable care teams to focus more on patients rather than paperwork.

With a global presence across the United States and India, Zonov.ai is building scalable healthcare AI infrastructure for the next generation of connected, intelligent, and automated healthcare.

Website: https://zonov.ai/
LinkedIn: https://www.linkedin.com/company/zonov-ai/

About the Role

We're hiring an AI Engineer who can do three things well: build AI-driven software, implement it into client (hospital) environments, and confidently demo and present our solutions to clients. This is a hands-on, client-facing role perfect for someone early in their career who loves both writing code and communicating its value. You'll work closely with our product, engineering, and delivery teams and see your work go live in real healthcare settings.

Key Responsibilities

  • Design, develop, and deploy AI/ML and LLM/GenAI-based features into our software products.
  • Implement and integrate Zonov.ai's solutions into client (hospital) systems — handling setup, configuration, and smooth onboarding.
  • Prepare and deliver product demos and presentations to prospective and existing clients.
  • Translate client requirements into practical technical solutions.
  • Troubleshoot deployment and integration issues, and provide post-implementation support.
  • Collaborate with product, engineering, and sales teams to refine and improve the product.
  • Document implementation steps, configurations, and best practices.

Required Skills & Qualifications

  • Bachelor's/Master's in Computer Science, Engineering, or a related field.
  • 0–2 years of experience in AI/ML or software development (freshers with strong projects/internships encouraged to apply).
  • Strong programming skills in Python.
  • Understanding of LLMs / GenAI concepts and hands-on interest in building with them.
  • Familiarity with cloud platforms (AWS / Azure / GCP), APIs, and basic deployment concepts.
  • Good communication and presentation skills for client interactions.
  • A problem-solving mindset and eagerness to learn quickly.

Good to Have

  • Personal projects, internships, or contributions involving AI/ML or LLMs.
  • Exposure to any client-facing, demo, or presentation experience.
  • Interest in healthcare technology / HealthTech.
  • Familiarity with ML frameworks (PyTorch, TensorFlow) or LLM tools (LangChain, vector databases, etc.).

What We Offer

  • Competitive salary (₹3–12 LPA based on skills and experience).
  • The chance to work on real AI products deployed in live hospital environments.
  • High ownership, fast learning, and direct impact from day one.
  • A collaborative startup culture focused on building, not just talking about AI.

Pay: ₹300,000.00 - ₹1,000,000.00 per year

Benefits:

  • Health insurance
  • Paid sick time
  • Paid time off
  • Provident Fund

Education:

  • Bachelor's (Preferred)

Language:

  • English (Preferred)

Willingness to travel:

  • 25% (Preferred)

Work Location: In person

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