Staff/Senior Front End Engineer - Remote AI/ML | WFH

Job Overview

Join our innovative team as a Staff/Senior Full Stack Engineer, where you will play a pivotal role in advancing our mission to enhance healthcare understanding through AI technology. This remote opportunity allows you to work collaboratively on cutting-edge projects that transform patient-clinician interactions.

Key Responsibilities

• Architect, develop, and sustain highly scalable, cloud-based services utilizing TypeScript, Python, and React.
• Develop tools that facilitate the machine learning model lifecycle, including evaluations and dataset curation.
• Construct robust infrastructure for orchestrating Large Language Models (LLMs) to deliver an engaging user experience.
• Make informed architectural and technological decisions that align with our business objectives, emphasizing innovation, security, and reliability.
• Optimize the performance and scalability of our platform, ensuring a seamless user experience.
• Collaborate with cross-functional teams in product, machine learning, and design to drive successful feature development from inception to launch.
• Conduct research and assessment of commercial and open-source tools to implement scalable solutions.
• Promote best practices in coding, mentor junior engineers, and cultivate technical excellence within the team.
• Understand user needs deeply, maintaining a user-centric focus in your development efforts.
• Assist in expanding our machine learning infrastructure, ensuring smooth interactions between products and ML models.
  
  

Required Skills

• Over 5 years of experience in building and scaling distributed systems using modern technologies such as TypeScript, Python, React, and Node.js.
• Practical experience with integrating Large Language Models (LLMs) and APIs, alongside knowledge of fine-tuning and prompt engineering.
• Expertise in cloud services (AWS, GCP), infrastructure as code (Terraform), and containerization (Docker, Kubernetes).
• Demonstrated capability in leading engineering teams or overseeing significant software components throughout their lifecycle.
• Familiarity with optimizing and scaling inference systems for LLMs or similar AI technologies is preferred.
• Experience in regulated environments (HIPAA, SOC 2, or HITRUST) is advantageous.
• A strong passion for exploring new technologies and sharing knowledge within your team.
  
  

Qualifications

• A Bachelor’s degree in Computer Science, Engineering, or a related field is essential.
• A track record of 5+ years in software engineering, particularly with large-scale systems and AI applications.
  
  

Career Growth Opportunities

We prioritize professional development and offer a dedicated learning and development budget of $3,000 per year, intended for coaching, courses, workshops, and conferences to support your growth.

Company Culture and Values

Our diverse team comprises practicing MDs, AI experts, PhDs, creatives, technologists, and engineers who are passionate about improving healthcare accessibility. We focus on patient outcomes and foster an innovative and collaborative environment.

Networking and Professional Opportunities

You will have the chance to network with talented professionals and participate in team-building retreats that promote collaboration and innovation.

Compensation And Benefits

• Base Salary: \(185,000 - \)265,000+ per year + Equity
• Salary is based on transparent guidelines and will vary based on location, experience, skills, and qualifications.
• Opportunity to participate in a stock option plan as a component of your total compensation package.
• Unlimited PTO for salaried team members, plus 13 paid holidays.
• 16 weeks of paid parental leave for all full-time employees.
• Remote-friendly work environment with generous equipment budget for home office setup ($1,600).
  
  

Employment Type: Full-Time