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Staff Developer (AI Platform)

About KOHO

KOHO’s purpose is to empower Canadians to build a great financial foundation with products that are radically transparent and easy to manage. We first launched in 2017, and we have since built a community of over 1.5 million users. Leading investors around the globe believe in our vision, and we’ve successfully raised over $320M to make our vision a reality.

 

Discover our culture here and get the inside scoop from our team here!

About The Role

We’re looking for a Staff Developer to join our team for a role to work remotely based in Canada. Reporting to David Kormushoff, VP Technology, you’ll be joining a high-performing, fast-moving AI team that’s already delivering real business impact. KOHO’s internal AI platform is in production and powering multiple use cases today — your mission will be to accelerate and scale what’s already working by bringing deep technical expertise and a passion for innovation. This is a chance to build on an already impressive foundation and push the boundaries of what’s possible with AI.

What You’ll Be Doing

Drive AI-Powered Solutions: Develop, train, and deploy generative AI workflows and autonomous agents to automate business processes and enhance KOHO’s products. You’ll work with large language models and cutting-edge AI tools to solve complex problems in new, creative ways.

Full-Stack Innovation: Design and implement end-to-end solutions that span frontend, backend, data pipelines, and cloud infrastructure. You’ll ensure AI features integrate smoothly across the tech stack – from user-facing interfaces to backend services and data systems – delivering a seamless experience.

Lead Technical Strategy: Act as a technical visionary for KOHO’s AI platform expansion. You’ll conduct proofs-of-concept with emerging technologies, evaluate new tools and frameworks, and make data-driven recommendations to push KOHO’s platform to the next level of innovation.

Collaborate and Influence: Work closely with cross-functional teams (Data Science, Product, Security, and others) to embed AI capabilities into various products and services. You’ll share expertise, mentor engineers across teams on best practices for AI integration, and influence key technical decisions without formal authority.

Ensure Scalability and Reliability: Own the performance, scalability, and reliability of the AI systems you build. You’ll establish high standards for code quality, monitoring, and infrastructure – e.g. setting up robust CI/CD pipelines and using Infrastructure-as-Code – to ensure that our AI-driven services run efficiently and securely at scale.

Who You Are

Experienced Technologist: You have a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience). You bring 7+ years of experience in software engineering or data engineering, with a track record of building reliable, scalable systems in production.

AI & Automation Expert: You have hands-on experience developing and deploying AI/ML solutions – ideally including generative AI or LLM-based systems – in real-world products. You excel at using technology to automate business workflows and have probably built or integrated AI-driven agents or decisioning systems that made processes faster or smarter.

Full-Stack Proficiency: You can work across the stack. Whether it’s developing a web frontend feature, crafting a robust backend service, optimizing a data pipeline, or configuring cloud infrastructure, you’re comfortable diving in. (Experience with AWS cloud services and Terraform for infrastructure-as-code is a strong plus.)

Innovative & Adaptable: You stay abreast of industry trends and emerging technologies, especially in AI. More importantly, you learn new domains quickly and adapt to new tools or frameworks as needed. For you, adaptability and continuous learning are more important than expertise in any one specific tech stack.

Leadership Without Title: You possess excellent communication and collaboration skills. You can influence and inspire other engineers and stakeholders through knowledge-sharing, technical demos, and well-reasoned proposals. You’re able to drive consensus on technical decisions and guide projects to success, all without needing formal managerial authority.

Self-Starter & Problem Solver: You are a self-directed individual who takes initiative. Faced with an ambitious goal, you break down problems, research solutions, and persistently drive towards outcomes. You thrive in environments with a high degree of autonomy and are not afraid to get your hands dirty in the code to make things happen.

What's In It For You?

We invest time and resources into making sure KOHO is as good as the people we hire. Here are some of the reasons we attract the best people:

 

🧘‍♂️ Balance Your Life - Company-wide summer wellness days, winter holiday closure, personal days, a wellness spending account, and maternity & parental leave top-up

💻 Remote First - Work from anywhere in Canada with a budget to set up your home office

🆙 Level Up - Access to an in-house certified performance coach and an annual training budget

🙌 The KOHO Culture - We have won 7 "Great Place to Work ®" awards since 2019

🤝 Be an Owner - Every KOHO employee gets a generous amount of equity with a 10 year exercise window

 

The KOHO culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact peopleaccessibility@koho.ca and the People and Culture team will be happy to help.

 

#LI-Remote

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CEO of KOHO
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Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Staff Developer (AI Platform), KOHO

At KOHO, we're on a mission to empower Canadians with a transparent financial foundation, and as a Staff Developer, you’ll play a crucial role in elevating our AI platform. We’ve already made great strides since launching in 2017, amassing over 1.5 million users and raising substantial investments. Your journey with us will involve collaborating within a dynamic AI team, where your expertise will help us expand and innovate on our already impactful AI solutions. Imagine developing, training, and deploying generative AI workflows that automate processes and improve our offerings! You'll be at the forefront of creating comprehensive systems that incorporate frontend and backend technologies, data pipelines, and cloud infrastructure. As a technical visionary, you'll test emerging tech and provide insights that drive our AI platform's evolution. Working cross-functionally, you’ll share your vast knowledge and mentor other engineers, ensuring we integrate AI seamlessly into our products. Performance and reliability are paramount, and you'll be responsible for maintaining high standards in these areas. We are looking for someone with considerable experience — around 7+ years — in software or data engineering, and familiarity with AI/ML solutions, particularly within real-world applications, to shape the future of KOHO. If you are an adaptable problem solver, excited to lead without titles, and crave the opportunity to make a tangible impact, we want to hear from you! With a remote-first approach, a culture that prioritizes wellness and continuous learning, and an inclusive environment, KOHO is an amazing place to grow your career.

Frequently Asked Questions (FAQs) for Staff Developer (AI Platform) Role at KOHO
What are the main responsibilities of a Staff Developer at KOHO?

As a Staff Developer at KOHO, your responsibilities primarily revolve around developing and scaling our AI-powered solutions. You'll create generative AI workflows, manage full-stack development, and lead the technical strategy for our AI platform. Collaborating with various teams to embed AI capabilities, you'll ensure that our systems are both reliable and scalable, focusing on delivering a seamless user experience.

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What qualifications are required for the Staff Developer position at KOHO?

To be considered for the Staff Developer position at KOHO, you should possess a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, along with 7+ years of experience in software or data engineering. Hands-on experience with AI/ML solutions, particularly generative AI, is essential, alongside proficiency in full-stack development and cloud services like AWS.

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What does the work environment look like for Staff Developers at KOHO?

Staff Developers at KOHO work in a remote-first environment, allowing flexibility in where and how you work. The company fosters a collaborative culture enriched by diverse perspectives, focusing on continuous learning and innovation. KOHO’s commitment to employee well-being is reflected in their wellness programs and an inclusive atmosphere.

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How does KOHO support professional development for Staff Developers?

At KOHO, professional development is a priority. As a Staff Developer, you'll have access to an in-house certified performance coach and an annual training budget to further enhance your skills. The company encourages you to stay abreast of industry trends and offers opportunities for mentorship and knowledge-sharing.

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What technology stack should a Staff Developer be familiar with at KOHO?

A successful Staff Developer at KOHO should be well-versed in a range of technologies, including generative AI, large language models, backend and frontend frameworks, along with experience in data pipelines. Familiarity with cloud infrastructure, particularly AWS, and tools like Terraform for infrastructure-as-code is highly beneficial.

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Common Interview Questions for Staff Developer (AI Platform)
Can you describe your experience with developing AI-powered solutions?

When answering this question, highlight specific projects where you've developed AI solutions, focusing on the technology stack you used and the impact of your work on the business. Give insights into how you approached problem-solving and collaboration with interdisciplinary teams.

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What strategies do you employ to ensure the reliability and performance of your systems?

Share specific methodologies you follow, such as setting up CI/CD pipelines, monitoring, and conducting regular audits. Explain how you maintain high standards for code quality, and provide examples of past experiences where you successfully improved system performance.

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How do you keep yourself updated with emerging technologies in AI?

Discuss your dedication to continuous learning through online courses, conferences, and following prominent figures in the AI space on social media. Mention how you integrate new knowledge into your projects to keep the platform innovative.

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What is your approach to collaborating with cross-functional teams?

Emphasize your communication skills and your willingness to share knowledge. Provide examples illustrating how you've worked together with different teams like Product or Data Science, leading to successful project outcomes.

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Can you give an example of a challenging technical problem you faced and how you solved it?

Describe a specific instance where you identified a complex issue in a project. Highlight the steps you took to analyze the problem, consult with team members, and implement a viable solution. Illustrate the positive result of your efforts.

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What tools and frameworks do you prefer for AI development?

Mention your preferred tools and frameworks, such as TensorFlow, PyTorch, or any specific libraries for large language models. Share your reasoning behind these preferences and any successful projects you completed using them.

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How do you prioritize tasks when handling multiple projects?

Discuss your organizational skills and techniques such as using project management tools or agile methodologies. Include examples where your prioritization led to the timely successful completion of projects.

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What qualities make a successful Staff Developer in a remote environment?

Emphasize the importance of self-motivation, excellent communication, and time management skills. Provide examples of how these qualities have enabled you to succeed in past remote roles, while maintaining productivity and collaboration.

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How do you measure the success of your AI implementations?

Discuss the key performance indicators (KPIs) you track, such as user engagement or process efficiency. Describe how you analyze data post-implementation to assess the impact of your AI solutions on business goals.

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What steps do you take to mentor junior engineers?

Describe how you approach mentorship, such as setting goals with junior engineers, providing constructive feedback, and encouraging their involvement in projects. Share how mentoring has positively impacted the team and fostered a collaborative atmosphere.

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Full-time, remote
DATE POSTED
April 2, 2025

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