AI Agent Developer, Oakville

Who we are:

Geotab® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description.Who you are:

Geotab is seeking an AI Agent Developer who will design, build, and maintain AI-powered "skills"— modular, executable agents that integrate with enterprise systems and surface through a shared internal agent platform. If you love technology, and are keen to join an industry leader — we would love to hear from you!What you'll do:

As an AI Agent Developer, your key area of responsibility will be contributing to both the core platform and the growing ecosystem of agents deployed across the organization, and playing a meaningful role in shaping the standards and practices that enable other teams to build their own agents. You will need to work closely with business units to identify high-value automation opportunities, as well as collaborate with security, compliance, and data governance teams to ensure agents operate within established guardrails.To be successful in this role you will be a self-directed communicator who is comfortable operating with autonomy in a fast-moving, platform-oriented environment and able to explain agent capabilities to both technical and non-technical stakeholders. In addition, the successful candidate will have sound software engineering fundamentals with the ability to scope ambiguous problems, ship iteratively, and balance quality with delivery speed to ensure timely results.How you'll make an impact:

Design and build production AI agent skills in Go (and Python where appropriate), following established skill architecture patterns and platform conventions. Integrate agents with enterprise systems including data warehouses, ticketing systems, source control, observability platforms, and internal APIs.Contribute to the core agent platform: runtime management, skill lifecycle, credential handling, multi-model AI support, and build tooling. Define and enforce best practices for skill development, packaging, distribution, and CI/CD— and help other teams adopt them. Partner with business units to identify high-value automation opportunities and translate them into well-scoped, production-ready agent solutions.Maintain the skill ecosystem: versioning, dependency management, cross-platform compilation, and runtime distribution. Build tooling and documentation that empowers other developers to contribute skills and reduce the burden on the core team. Monitor deployed agents, gather user feedback, instrument performance, and drive continuous improvement cycles.Collaborate with security, compliance, and data governance teams to ensure agents operate within established guardrails. Stay current with LLM capabilities, prompt engineering advances, agentic frameworks, and relevant open-source tooling— and evaluate their applicability to the platform. Contribute to the internal AI agent developer community through knowledge sharing, workshops, and direct guidance to other teams.What you'll bring to this role:

Bachelor's degree in Computer Science, Software Engineering, or a related technical field. 4+ years of software engineering experience; hands-on experience in Go is strongly preferred, with Python as a secondary language. Demonstrated experience building and deploying AI-driven applications, automations, or agents, including experience with LLM APIs (Claude, Gemini, GPT, or similar).Solid understanding of CLI tooling, binary distribution, and cross-platform build systems. Experience with enterprise system integration via REST APIs (Jira, GitLab, BigQuery, Salesforce, etc.). Familiarity with agentic patterns: tool use, multi-step reasoning, context management, prompt engineering, and output validationStrong communication skills with a genuine enthusiasm for AI and its practical application to real business problems. Otherwise, if you feel you lack some requirements, we still encourage you to apply. Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.This posting is for an existing vacancy. We acknowledge and support equal opportunities in employment. Geotab is committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion and accommodation policies, please contact us at . By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively,“Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to learn more about what happens with your personal data.The annual base salary for this position is the expected annual salary for this role and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.

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