Opportunity

Senior AI Full Stack Engineer - LangChain & AWS Career in Columbus

Location Columbus
Company PolicyMe
Source jobicy
Posted 2026-09-17 05:35:24

Career & Market Insight

Compensation & Market Positioning: The $154,000–$176,000 CAD (~$112K–$128K USD) range is competitive for a senior full-stack AI/ML engineer in Canada, sitting at or slightly above median for Toronto-based senior roles. Stock options add further upside for a growing insurtech startup. Performance reviews twice a year also open doors for accelerated compensation growth.

Skills Development: This role is a strong career accelerator. You'll gain hands-on depth in:

  • LangChain/LangGraph — highly in-demand LLM orchestration frameworks
  • n8n — growing automation tooling with broad enterprise adoption
  • Production AI/ML systems on AWS with full-stack ownership (React + Python)
  • Technical leadership, architecture definition, and mentorship of junior engineers

Career Growth Signals: The role sits at a senior/staff level with architectural ownership and cross-functional influence — excellent for engineers aiming toward Principal Engineer or Engineering Lead roles. The insurtech domain exposure is a differentiator as financial services AI is a rapidly expanding market.

Green Flags: Remote-first culture, L&D budget, AI tooling budget, low-ego team description, and twice-yearly performance reviews signal a healthy engineering culture. The startup's $10B+ in coverage sold since 2018 shows real traction, not just an idea-stage risk.

Potential Watch-Out: Fast-paced startup environments and "managing ambiguity" appear multiple times — set clear expectations on scope and roadmap stability during interviews.

Overview of the Role

We're on a mission to modernize insurance, making it simpler, more accessible, and customer-first. The insurance industry is a $1T market that's remained largely untouched by the digital revolution, and PolicyMe is here to change that. As a remote-first, Toronto-based startup with big ambitions, we're building the future of insurance in Canada and beyond.

We're building a groundbreaking new product line that will transform the insurance broker experience through AI and machine learning. As an AI-Driven Full Stack Engineer, you'll be part of a team charting new territory — designing and implementing intelligent systems that automate manual processes and unlock powerful data-driven insights.

You will work across the stack, contributing to front end, back end, and AI/ML initiatives, while also participating in architecture discussions, release planning, and company-wide engineering initiatives. Our core stack includes Python, React, Redux, PostgreSQL, n8n, LangChain/LangGraph, and AWS, and we are always open to adopting new tools and technologies that help us deliver better results.

What You'll Be Doing:

  • Leading the design and development of full stack features for our AI-powered web application using Python, React, Redux, PostgreSQL, and AWS
  • Defining the technical vision and architectural principles for AI/ML systems
  • Driving innovation by researching and prototyping cutting-edge AI technologies
  • Ensuring security, scalability, and observability best practices across cloud architecture
  • Working within a cross-functional environment, partnering closely with product, design, and business teams to communicate technical designs and strategies
  • Serving as a role model for engineering standards, bringing consistency across systems and processes while mentoring junior and intermediate engineers
  • Helping drive sound technical decision-making across ambiguous, system-spanning problems

What We Are Looking For:

  • 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, and 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

Why Join Us:

  • 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 (we cover the costs to bring all 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 $154,000 – $176,000 CAD, based on experience. We'll walk through the details together during the interview.

About PolicyMe

At PolicyMe, we are Canada's leading digital insurance solution, offering straightforward and affordable financial protection for families from coast to coast. Our product suite includes Life Insurance, Critical Illness Insurance, and Health & Dental Insurance, all tailored to Canadians' evolving needs. We also offer B2B2C solutions, partnering with organizations to provide seamless digital insurance options. Founded by a team of insurance experts and technology entrepreneurs, PolicyMe is committed to making insurance simpler and more accessible. Since our launch in 2018, we have grown exponentially, selling over $10 billion in insurance coverage to Canadians.

We operate with a remote-first culture, attracting top talent from across Canada. If you're looking for a fast-paced, collaborative environment working alongside incredibly ambitious yet humble humans, we may be the right place for you! To learn more, visit www.policyme.com.

Additional Notes

Job Vacancy: This role reflects growth in our team and expanded operational scope. We're hiring to support increasing demand and continue delivering an exceptional customer experience.

Commitment to Equal Opportunity: PolicyMe is an equal opportunity employer. We welcome applicants of all backgrounds and provide fair consideration regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability.

Accessibility Statement: We are committed to providing an accessible hiring experience. If you require accommodations during the application process, please indicate this in the "Additional Information" section of your application.

We thank all applicants for their interest; however, only those selected for an interview will be contacted.

Frequently Asked Questions

Is this role fully remote or does it require working from the Toronto office?
The role is remote-first, meaning you can work fully from home anywhere in Canada. There is an option to use the Toronto office, and PolicyMe covers costs for two in-person team socials per year.
What is the salary range for this AI Full Stack Engineer position?
The total target cash compensation is $154,000 – $176,000 CAD, based on experience. Stock options based on performance are also available.
What AI/ML technologies will I be working with in this role?
You'll work with LangChain/LangGraph, n8n for workflow automation, and build production AI/ML systems across NLP, computer vision, and recommendation engines, all deployed on AWS.
Is this role open to candidates outside of Canada?
PolicyMe attracts talent from across Canada and operates with a remote-first culture specifically for Canadian talent. The job posting does not indicate openings for international applicants.
What level of experience is required for this position?
The role requires 5+ years of experience in fullstack web development and production AI/ML systems, along with a proven ability to architect and lead end-to-end AI projects.
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