Remote Position
AI/ML Engineer
🌍 Remote · United States
💼 Full-time
About the Role
Build the AI systems that power Klarity's platform — from intelligent agents that match patients with providers to automation that streamlines clinical workflows. You'll work with LLMs, build agent pipelines, and ship ML features that directly impact healthcare delivery at scale.
What You'll Do
- Design, build, and deploy ML models and LLM-based agent systems in production
- Develop provider-matching algorithms, clinical NLP pipelines, and intelligent automation
- Build and maintain ML infrastructure — training pipelines, evaluation frameworks, and monitoring
- Collaborate with product and engineering to integrate AI capabilities across the platform
- Iterate rapidly — run experiments, evaluate results, and ship improvements weekly
Who You Are
- 3+ years building and deploying ML models in production
- Strong experience with LLMs, prompt engineering, fine-tuning, and agent frameworks
- Proficient in Python, PyTorch/TensorFlow, and cloud ML infrastructure (AWS/GCP)
- Healthcare or marketplace experience is a plus
Compensation & Benefits
- Base salary: $200K – $260K
- Performance bonus + equity package
- Comprehensive health, dental, and vision insurance
- Unlimited PTO + company-wide recharge days
- 401(k) matching
3+ years building and deploying ML models in production; strong experience with LLMs, prompt engineering, fine-tuning, and agent frameworks; proficient in Python, PyTorch/TensorFlow, and cloud ML infrastructure (AWS/GCP).
Key Responsibilities
- building ML models
- developing agent pipelines
- maintaining ML infrastructure
Skills & Tools
Python, PyTorch, TensorFlow, AWS, GCP
Job Details
- Category: Software Development
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — United States or Redwood City
- Salary: USD 200,000 – 260,000 / year
- Languages: English
Benefits
- 401k matching
- Generous paid time off
- Retirement plan
About Klarity
A healthcare technology company building AI systems to match patients with providers and streamline clinical workflows. — Industry: Information Technology