AI Engineer (Generative AI & Healthcare)

at Mango Sciences

AI Engineer (Generative AI & Healthcare)

Mango Sciences

Company

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AI Engineer (Generative AI & Healthcare)

at Mango Sciences

Posted by Supriya C

3 - 12 yrs

₹9L - ₹30L / yr

Remote only

Skills

Artificial Intelligence (AI)

Generative AI

Large Language Models (LLM)

Retrieval Augmented Generation (RAG)

EMR/EHR

HL7

FHIR

HIPPA

Healthcare

DevOps

Python

Relational Database (RDBMS)

AI Engineer (Generative AI & Healthcare)

Location: Remote (India)

Experience: 3 - 12 Years

Domain: HealthTech

The Mission

We are looking for a heavy-hitter AI Engineer to bridge the gap between unstructured clinical chaos and structured medical insights. You won’t just be "playing" with prompts; you will build production-grade, HIPAA-compliant systems that handle sensitive EMR/EHR data using state-of-the-art RAG architectures and Agentic workflows.

What You’ll Do

Architect & Deploy: Build end-to-end GenAI pipelines and Agentic Workflows capable of navigating complex clinical logic.
Clinical NLP: Transform unstructured doctor’s notes into structured insights using BioBERT, ClinicalBERT, or custom fine-tuned LLMs.
Data Orchestration: Work seamlessly within HL7/FHIR standards to ensure interoperability.
Production Excellence: Deploy and scale models in a robust environment using Docker, Kubernetes, and AWS.
Security First: Architect every solution with a HIPAA-compliant mindset, ensuring the absolute integrity of sensitive patient data.

Your Technical Toolkit

Generative AI: Expert-level RAG, Fine-tuning, and Prompt Engineering.
Healthcare Tech: Deep familiarity with EMR/EHR systems and HL7/FHIR protocols.
Engineering: 3+ years of experience with Python, LangChain/LlamaIndex, and vector databases.
DevOps: Proven track record of deploying "production-grade" AI (not just notebooks) on AWS/K8s.

Interested? Apply with a summary of your most complex production-grade AI project.

https://forms.gle/4L22rGT4VTVyAEnV9

AI Engineer (Generative AI & Healthcare)

Location: Remote (India)

Experience: 3 - 12 Years

Domain: HealthTech

The Mission

What You’ll Do

Architect & Deploy: Build end-to-end GenAI pipelines and Agentic Workflows capable of navigating complex clinical logic.
Clinical NLP: Transform unstructured doctor’s notes into structured insights using BioBERT, ClinicalBERT, or custom fine-tuned LLMs.
Data Orchestration: Work seamlessly within HL7/FHIR standards to ensure interoperability.
Production Excellence: Deploy and scale models in a robust environment using Docker, Kubernetes, and AWS.
Security First: Architect every solution with a HIPAA-compliant mindset, ensuring the absolute integrity of sensitive patient data.

Your Technical Toolkit

Generative AI: Expert-level RAG, Fine-tuning, and Prompt Engineering.
Healthcare Tech: Deep familiarity with EMR/EHR systems and HL7/FHIR protocols.
Engineering: 3+ years of experience with Python, LangChain/LlamaIndex, and vector databases.
DevOps: Proven track record of deploying "production-grade" AI (not just notebooks) on AWS/K8s.

Interested? Apply with a summary of your most complex production-grade AI project.

https://forms.gle/4L22rGT4VTVyAEnV9

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About Mango Sciences

Founded :

2019

Type :

Product

Size :

20-100

Stage :

Raised funding

About

N/A

Company social profiles

N/A

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