Tavrn
AI Product Engineer
San Francisco
Sponsorship not specified$170k-$220kDetected 433 days ago
JavaScriptPythonAWSGCPAzureCloud PlatformsMachine LearningOnboardingCommunicationCollaboration
About the role
- We're seeking innovative and highly motivated Product Engineers to join our dynamic product team.
Responsibilities
- Develop and enhance Tavrn's AI-driven software solutions, ensuring high quality, scalability, and performance.
- Collaborate closely with sales and engineering to understand customer needs and translate them into innovative technical solutions.
- Support technical implementation and troubleshooting during customer onboarding and integration phases.
- Maintain comprehensive documentation of technical designs, processes, and systems.
Requirements
- 2-4 years of experience in software engineering, ideally working with SaaS or AI-driven technologies.
- Strong proficiency in Python, JavaScript, or other relevant programming languages.
- Familiarity with AI frameworks, machine learning concepts, and cloud platforms (e.g., AWS, Azure, or Google Cloud).
- Proven ability to navigate ambiguity, innovate proactively, and deliver practical solutions in a fast-paced startup environment.
- Excellent communication and collaboration skills, with an ability to effectively partner across teams.
Compensation
- Our goal is to become the leading AI-driven solution provider for personal injury, medical malpractice, workers' compensation, SSDI legal practices, and beyond.
Benefits
- Competitive salary range of $170,000-$220,000 (placement within range based on experience and qualifications) + equity
- Comprehensive medical, dental, and vision benefits.
- Tavrn is a pioneering legal AI company transforming the plaintiff law sector through automation of medical chronologies, demand letters, and medical record retrieval.
- Our goal is to become the leading AI-driven solution provider for personal injury, medical malpractice, workers' compensation, SSDI legal practices, and beyond.
- Tavrn's vision extends into adjacent industries such as eDiscovery, healthcare, insurance, and other data-intensive sectors.
This listing is sourced directly from Tavrn's careers page and normalized into a canonical job model.