AI Solutions Developer (Remote)
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an AI Solutions Developer who will be responsible for architecting, building, and operationalizing custom AI applications, agents, self-service tools, and automated workflows that help our Global Enablement teams work smarter, support revenue generation, and deliver measurable ROI. This is a hands-on engineering role for a builder who loves turning ideas into secure, reliable, production-ready solutions. If you love building with AI, and are keen to join an industry leader — we would love to hear from you!
What you’ll do:
As an AI Solutions Developer your key area of responsibility will be designing, developing, deploying, and maintaining AI-powered applications that strengthen sales enablement, learning design, customer education, and operational efficiency across Global Enablement. You will be responsible for coding custom AI agents and automation solutions in Python, building retrieval augmented generation (RAG) systems, developing full-stack applications with intuitive user interfaces, and integrating AI with business systems through secure APIs. You could be building an AI trainer that supports learning and skill development, a sales enablement engine that curates the right content, pitch decks, talk tracks, and positioning for each seller’s needs, or automated workflows that create and update training, videos, and user guides as our products evolve. You will also need to establish engineering best practices, CI/CD pipelines, AI evaluation processes, and security guardrails, while monitoring performance and cost to keep solutions reliable and efficient. You will need to work closely with subject matter experts across enablement functions to translate specialized knowledge and learning objectives into practical applications, and partner with IT and GenAI platform teams to ensure your solutions align with company infrastructure and technology standards.
To be successful in this role you will be an independent problem solver and a strong communicator who can explain technical capabilities, limitations, risks, and tradeoffs clearly to nontechnical stakeholders. You take ownership of your work from initial concept through deployment and ongoing operation, and you balance technical capability with usability and measurable business value. In addition, the successful candidate will have the ability to translate loosely defined business requirements into precise technical specifications, along with a disciplined approach to documentation and a passion for staying current in a rapidly evolving AI landscape.
How you’ll make an impact:
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Architect, code, and deploy custom AI agents and automation solutions using Python and relevant frameworks, such as LangChain and AutoGen, to solve complex business challenges within Global Enablement.
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Develop and maintain backend logic and microservices required to support AI workflows, ensuring high availability and scalability of deployed agents.
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Build custom retrieval augmented generation (RAG) systems by integrating large language models (LLMs) with PostgreSQL with pgvector and vector databases such as Pinecone and Weaviate, enabling secure interaction with proprietary data and approved content.
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Write clean, maintainable, and efficient code for content generation, localization, and multimedia processing automations, adhering to software development best practices, including version control, code reviews, and testing.
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Develop complete AI applications, including intuitive user interfaces, backend services, and secure integrations for internal and external users.
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Implement conversation management, context retention, structured outputs, and tool calling to support interactive learning, guidance, and multi step workflows.
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Evaluate and integrate conversational AI, speech recognition, speech generation, interactive avatars, and multilingual capabilities.
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Build self service tools and AI supported workflows in partnership with subject matter experts, incorporating appropriate review and approval steps.
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Design and implement secure RESTful API integrations to connect AI agents with business systems, learning and sales enablement platforms, knowledge repositories, and third party platforms.
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Develop reusable code libraries, API wrappers, and solution frameworks to accelerate technical development across Global Enablement and ensure consistency in the codebase.
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Collaborate with IT and GenAI platform teams to ensure departmental solutions align with company infrastructure and technology standards, leveraging cloud resources such as Google Vertex AI, Azure, and AWS effectively.
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Develop knowledge ingestion and synchronization processes to keep connected content current, approved, and appropriate for its intended audience.
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Implement authentication, authorization, and role based access controls for internal, partner, and customer facing applications.
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Design solutions that support future integrations and additional enablement use cases without unnecessary duplication or redevelopment.
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Implement code level security measures to ensure agents handling sensitive information, including internal documents and customer data, adhere to data privacy and responsible AI guardrails.
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Establish continuous integration and continuous deployment (CI/CD) pipelines for testing and deploying AI agents, ensuring rigorous quality control and risk mitigation before production release.
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Monitor technical performance metrics, including latency, token usage, and error rates, and optimize code to ensure cost efficiency and response quality.
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Establish AI evaluation processes to test answer accuracy, retrieval quality, relevance, and appropriate handling of unsupported requests.
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Implement safeguards against unauthorized information access, prompt injection, and unintended actions, including human approval and escalation where appropriate.
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Maintain separation of internal, partner, and customer facing content, with appropriate controls to protect information across users and organizations.
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Maintain deployed solutions through monitoring, troubleshooting, updates, and continuous improvement.
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Document deployment procedures, support requirements, and operational handover processes to ensure continuity.
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Translate complex business requirements from Global Enablement stakeholders into detailed technical specifications and architecture designs, supporting revenue generation, sales readiness, training effectiveness, and operational efficiency.
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Conduct technical feasibility assessments on proposed use cases to determine whether they require custom code, existing platform configuration, or a combination of approaches.
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Research and prototype emerging AI technologies, including new LLM releases and agentic frameworks, to maintain an effective and current technical stack for Global Enablement.
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Partner with subject matter experts to translate specialized knowledge, learning objectives, and business processes into AI applications.
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Collaborate with experts and end users to validate accuracy, instructional quality, usability, and effectiveness.
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Define clear scopes, delivery phases, dependencies, and success criteria, communicating technical risks and tradeoffs to stakeholders.
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Identify opportunities to automate repetitive work and create self service experiences across enablement teams, selecting AI or conventional automation as appropriate.
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Evaluate opportunities to consolidate or replace existing applications with AI enabled solutions, considering functionality, cost, security, migration requirements, and ongoing support.
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Measure solution impact through adoption, time saved, quality improvements, operating costs, and contribution to agreed enablement outcomes.
What you’ll bring to this role:
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Bachelor’s degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related quantitative field; Master’s degree preferred.
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3–5 years of proven experience in AI/ML, Data Science, or software engineering roles with a focus on building and deploying intelligent systems or automation.
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Strong proficiency in Python (including pandas and asynchronous programming) and working proficiency in JavaScript or TypeScript for user-facing applications.
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Hands-on experience building multi-step agentic workflows with code-first frameworks such as LangChain, AutoGen, or CrewAI, and integrating LLM APIs such as OpenAI, Gemini, and Anthropic.
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Demonstrated experience designing RAG pipelines using PostgreSQL with pgvector and vector databases or search libraries such as Pinecone, Weaviate, and FAISS.
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Experience deploying applications in Google Cloud (Vertex AI, Cloud Functions), with solid knowledge of Git, testing, CI/CD, RESTful APIs, and secure coding practices.
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Professional certifications in Google Cloud, Azure, AWS, or specific AI technologies, and experience with speech, avatar, or multilingual capabilities, are considered an asset.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
Other employment statements:
Geotab will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at [email protected]. Geotab provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Geotab complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Geotab expressly prohibits any form of workplace harassment or discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Geotab's employees to perform their job duties may result in discipline up to and including discharge. If you would like more information about our EEO program or wish to file a complaint, please contact our EEO officer, Klaus Boeckers at [email protected]. For more details, view a copy of the EEOC's Know Your Rights poster. 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 read our Privacy Notice.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.
