Front End Tech Lead at Wisedocs AI

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

250000.0

Posted On

14 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

React, Front End Development, Team Leadership, UX/UI Experimentation, Component Architecture, Usability, Performance Optimization, Maintainable Code, Problem-Solving, Document Editing, Document Parsing, AI-Powered UX, Coding Practices

Industry

Insurance

Description

Wisedocs is a fast-growing, venture-backed AI platform that transforms how insurance companies analyze claims. With ~$20M USD raised, 100+ team members globally, and 90+ customers across North America and Australia, we’re doubling revenue year over year. Founded by experts who’ve experienced the claims process firsthand, Wisedocs combines deep domain knowledge with next-gen AI trained on 100M+ documents. Our platform turns complex medical records into clear, structured insights—backed by expert human oversight. Join a mission-driven team building intelligent products that cut through complexity, accelerate decision-making, and make a real impact when it matters most. Role Summary We're seeking a Front End Tech Lead to shape the future of AI-powered document interaction. In this role, you'll lead a small engineering team while designing and implementing front-end features for our automation platform and machine learning engine. You'll work directly with customers to optimize our AI-powered UX, architect components for next-generation document-based human/AI interaction and run UX/UI experiments to improve AI productivity. What We Have We have three full stack applications that are AI augmented that help users work through medical claims effectively. These are powered by a combination of our ML pipeline, LLM summarization models and RAG/Context engineering. We also have a component library to standardize front-end components. What you'll be doing Designing and implementing key front-end features for our automation platform and advanced machine learning engine. Leading the creation of customer-centric features in response to growing client demand, tactfully enhancing our core product with additional benefits. Crafting front-end components with an emphasis on usability, performance, and adherence to best coding practices. Leading a small team of engineers Running experiments on UX/UI patterns to improve AI productivity You're a great candidate if you have Excellent proficiency in front-end development (we mainly use React) Experience or interest working with Document editing and parsing Experience working across multiple engineering teams to deliver projects A track record of developing high-quality, maintainable code. Excellent problem-solving skills in an independent and team setting Are enthusiastic about working in a fast-paced, innovative environment, contributing to a team that aims to make a significant impact in the medical and insurance tech space. What we offer: Flexible hybrid environment with the option to collaborate in-person at our Toronto HQ. Modern employee benefits, including health and dental coverage Competitive compensation, with valuable stock options, as we’re still a young company growing very quickly. An opportunity to develop very rapidly in your career. We can offer you a super-immersive learning environment, and when you thrive there, you will have the opportunity to rapidly develop this opportunity into senior practitioner or management opportunities as you choose. Access to a learning and professional development fund to help you level up your career while you’re working with us. We hope to be an incredible step up in your career if you decide to come and work with us. Company events Generous Paid Time Off Paid Sick Days Casual Dress code Employee Referral Bonus Tuition Assistance Plus, many other Recognition Programs! Recruitment Journey at Wisedocs We're excited to meet you and explore the possibilities together! At Wisedocs, honesty is one of our core values. Our Recruitment process is transparent to ensure you are set up for success: Round 1 – People & Culture Chat: 20–30 min conversation about your background, goals, and the role. Round 2 – 1st Technical Assessment: A 1-hour technical assessment that focuses on conceptual and system design. Round 3 – 2nd Technical Assessment: A 1.5-hour technical assessment that focuses on general coding. Round 4 – Interview with the Hiring Manager: A 1-hour interview with the hiring manager focusing on culture fit, experience, and high-level technical questions. Compensation Our target base salary range for this role is $200,000 - $250,000 CAD. This range reflects the full growth journey within the role — from building and developing skills early on, to becoming highly proficient and ultimately achieving excellence. Where an offer lands within the range is based on your experience, skills, and impact, which we assess throughout the hiring process. We’re committed to fair and transparent pay and ongoing career development. If your expectations fall outside this range but you’re excited about the role, we still encourage you to apply. Note: We use AI-powered tools alongside human review to support a fair, inclusive, and efficient hiring process, helping us work smarter and create better experiences for our customers and team. This posting is for current and future opportunities at Wisedocs. Even if there isn’t an immediate opening, we’re always excited to meet great people. If your experience lines up, we encourage you to apply — we’ll reach out when a role opens that’s a good fit. *Wisedocs AI is an equal opportunity employer and are committed to providing employment accommodation in accordance with AODA. If you require an accommodation, please notify us and we will work with you to meet your needs

Responsibilities

The role involves leading a small engineering team while designing and implementing key front-end features for the automation platform and advanced machine learning engine. Responsibilities also include crafting customer-centric features, developing standardized components, and running UX/UI experiments to boost AI productivity.