Healthcare AI Engineer - Job Opportunity at GRN Pear Evolution

Remote, US
Full-time
Senior
Posted: May 7, 2025
Remote
USD 140,000 - 180,000 per year based on seniority and healthcare AI specialization

Benefits

Startup equity potential
Remote work flexibility
Healthcare technology innovation exposure
Collaborative team environment

Key Responsibilities

Lead AI/ML model integration and fine-tuning for clinical data extraction
Develop and optimize healthcare data transformation workflows
Manage third-party AI service integrations and API implementations
Design and implement prompt engineering strategies for LLMs
Ensure HIPAA-compliant AI system architecture
Collaborate with engineering teams on backend integration

Requirements

Education

Bachelor's degree (B.A. or B.S.) in Computer Science, Data Science, Biomedical Informatics, or a related technical field required; Master's or Ph.D. preferred

Experience

Minimum 3+ years of experience in AI/ML integration

Required Skills

Python or JavaScript proficiency AI/ML API integration experience NLP and LLM expertise OCR technology implementation Healthcare data standards knowledge (HL7, FHIR) HIPAA compliance understanding
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Sauge AI Market Intelligence

Industry Trends

Healthcare AI integration is experiencing rapid growth with a 28% CAGR, driven by increasing demand for automated clinical data processing and analysis The convergence of LLMs and healthcare data processing is creating new opportunities for innovative solutions in clinical workflow optimization Regulatory compliance requirements are becoming more stringent as AI adoption in healthcare accelerates

Role Significance

Likely part of a focused AI/ML team of 4-8 engineers in a growth-stage startup environment
Senior individual contributor role with significant technical decision-making authority and platform architecture influence

Key Projects

Clinical data extraction pipeline development and optimization LLM integration for unstructured medical data processing HIPAA-compliant AI system architecture design Healthcare data standardization and transformation workflows

Success Factors

Deep understanding of healthcare data privacy requirements and HIPAA compliance Strong foundation in modern AI/ML technologies and their practical applications in healthcare Ability to balance technical innovation with regulatory compliance Experience in healthcare data standards and clinical workflows

Market Demand

Very High - Healthcare AI engineers with clinical data expertise are in the top 10% of most sought-after tech roles in 2024

Important Skills

Critical Skills

AI/ML Integration - Essential for core platform functionality and data processing capabilities Healthcare Data Standards - Critical for ensuring interoperability and compliance Security and Compliance - Fundamental for maintaining HIPAA requirements and patient data protection

Beneficial Skills

Cloud Architecture - Valuable for scaling AI operations UI/UX Understanding - Helpful for creating user-friendly AI implementations Healthcare Workflow Knowledge - Advantageous for optimizing AI solutions for clinical use

Unique Aspects

Opportunity to shape AI implementation in healthcare from the ground up
Direct impact on patient care outcomes through technology
Combination of cutting-edge AI technology with healthcare domain expertise

Career Growth

2-3 years in role before advancement, with potential for faster progression in a high-growth startup environment

Potential Next Roles

Lead AI Architect Healthcare AI Practice Lead Technical Director of Healthcare AI Chief AI Officer in HealthTech

Company Overview

GRN Pear Evolution

Early-stage healthcare technology startup focusing on innovative patient care coordination and hospital readmission prevention

Emerging player in the digital health transformation space with focus on AI-driven clinical workflow optimization
US-based with remote-first approach, indicating national market focus
Fast-paced startup environment with emphasis on innovation and technical excellence in healthcare AI
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