Own full-stack features from problem definition through production, building AI agents and workflows for healthcare operations while partnering with clinicians and operators and maintaining reliable, secure services.
Senior Software Engineer (Remote)
📜 Description
- Design and develop full-stack features for an AI-powered web application using Python, React, Redux, PostgreSQL, and AWS.
- Research and prototype AI technologies, and lead end-to-end AI projects.
- Apply security, scalability, and observability best practices across cloud architecture.
- Partner with product, design, and business teams on technical designs and strategies.
- Set engineering standards, mentor junior and intermediate engineers, and resolve ambiguous system-wide challenges.
🛠️ Requirements
- A strong technical background with 5+ years of experience in fullstack web development and production AI/ML systems
- Deep expertise in AI/ML domains like NLP, computer vision, recommendation engines etc.
- Proficiency with cloud infrastructure, distributed systems, microservices
- Proven ability to architect and lead end-to-end AI projects, including security best practices
- Exceptional technical communication and knowledge sharing abilities
- Track record of managing ambiguity and delivering innovative solutions
- An appreciation for fast-paced startup environments and experience building foundational systems
- Demonstrated ability to take ambiguous technical challenges and drive them to resolution with cross-functional teams
- Strong development skills in React, Python, and Node, or equivalent technologies with the ability to ramp up quickly
✨ Benefits
- Generous PTO - 20 vacation days
- A comprehensive benefits plan with premiums paid in full by PolicyMe
- Investment in your professional development, including an L&D budget, AI tooling budget, performance reviews twice a year and ongoing feedback to ensure you reach your highest potential
- An extremely high performing, low-ego, remote-first team that is truly disrupting an old industry
- Option to work from home or our Toronto-based office (bonus: we cover the costs to bring all our employees in-person twice a year for experiential socials!)
- Access to stock options based on performance
- Compensation: The total target cash compensation for this role is $160,000 - $195,000 CAD, based on experience. We’ll walk through the details together during the interview.
- Define technical vision and architectural principles for AI/ML systems.
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