Founding Engineer

4 days ago

Toronto, Ontario, Canada Pear VC Full time

The future of medical treatment has arrived, but it's not evenly distributed. Innovative medical technologies are entering the market every year, but it takes up to a decade for US health insurers to actually cover those treatments for patients (and even longer outside the US), blocking patients from the medical care they need.

We are a fast-growing, Stanford-founded early-stage AI SaaS startup (with venture capital funding). We use LLMs and AI agents to fight for medical coverage for individual patients.

We have five B2B customers, including one of the largest companies in our customer-space, and a large promising pipeline of prospective customers.
Check out our website (demo video at the bottom of the webpage), including About Us and Case Studies.

Job Responsibilities

We give major strategic ownership to everyone at the company.

Feature Development: Design, build, and iterate on end-to-end product features (frontend, backend, or both) using modern frameworks and cloud services.
Execution & Accountability: Turn product goals into scoped milestones, and keep the team unblocked and on-time.
Product collaboration: Work with founders, design, and other engineers to translate user needs into simple, scalable solutions.
Improve our generative AI capabilities. Foundational model training and fine-tuning won't be necessary, but we do a lot of vertical-specific LLM orchestration.
Team & culture: Raise the bar via code reviews, documentation, and mentoring; help interview future teammates and shape engineering norms.

Qualifications

Required:

4 years of software engineering experience (full-stack preferred)
Strong Python and JavaScript/TypeScript skills
Comfort in ambiguous, fast-paced environments; self-starter mindset
Detail-oriented, with a high bar for quality and trust in healthcare tools

Ideal, but not required:

Startup experience, especially early stage
Experience with LLMs in real-world applications
Familiarity with React, Node, SQL, Docker/Kubernetes

Tech stack

We use TypeScript in our frontend and Python for pretty much everything else. We run in a Kubernetes cluster on AWS, and use various AWS services (S3, Bedrock, etc) where it makes sense.

Compensation

We offer salary that is competitive with other startups, and a very generous equity package (which you'll get at a lower valuation before we raise our next funding round). Benefits: extended health & dental (including vision).

Location

We offer hybrid (at least 3 days per week in the office) work-arrangements in Toronto or NYC.

Founding Engineer