AI Solutions Developer

Geotab; Oakville; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading IoT solutions provider in Oakville is seeking an AI Solutions Developer to architect and operationalize custom AI agents. This role requires strong proficiency in Python and frameworks like LangChain and AutoGen, aimed at solving complex business challenges. The ideal candidate will also handle backend logic and database integration, ensuring scalable and efficient solutions. Join this dynamic team to make a significant impact in a fast-paced, innovative environment with growth opportunities and comprehensive benefits.

Benefits

Flex working arrangements

Home office reimbursement program

Competitive medical and dental benefits

Retirement savings program

Electric vehicle purchase incentive program

Qualifications

• Hands-on experience with Python and AI frameworks.
• Deep understanding of LLM APIs.
• Experience in designing data retrieval pipelines.

Responsibilities

• Architect and deploy custom AI agents.
• Ensure high availability and scalability of solutions.
• Integrate AI agents with enterprise systems securely.

Skills

Python

LangChain

AutoGen

API integrations

Cloud environments

CI/CD

Version control (Git)

Data privacy

Tools

Vector databases

Google Cloud (Vertex AI)

Pinecone

Weaviate

Job description

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. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out ourblog and follow us @InsideGeotab onInstagram . Join ourtalent network to learn more about job opportunities and company news.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a AI Solutions Developer who will be responsible for architecting, building, and operationalizing custom AI agents, copilots, and automated workflows that solve real business problems and deliver measurable ROI. 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 Solutions Developer, you will architect, build, and deploy custom AI agents and automation from the ground up. You’ll leverage Python and frameworks like LangChain or AutoGen to solve complex business problems, translating high‑level needs from Legal, Compliance, and L&D into robust technical specifications and architectural designs.

How you'll make an impact:

Accountable for the strategic direction of HR support for designated functional group while ensuring strategic direction aligns with overall organizational strategy.

• Architect, code, and deploy custom AI agents and automation solutions from scratch using Python and relevant frameworks (e.g., LangChain, AutoGen) to solve complex business challenges.
• Develop and maintain backend logic and microservices required to support AI workflows, ensuring high availability and scalability of deployed agents.
• Build custom retrieval pipelines (RAG) by integrating Large Language Models (LLMs) with vector databases (e.g., Pinecone, Weaviate) to enable secure interaction with internal proprietary data.
• Write clean, maintainable, and efficient code for content generation, localization, and multimedia processing automations, adhering to software development best practices (version control, code reviews, testing).
• Design and implement secure API integrations (RESTful) to connect AI agents with enterprise systems, Legal/Compliance databases, and third‑party platforms.
• Develop reusable code libraries, API wrappers, and solution frameworks to accelerate technical development across the division and ensure consistency in the codebase.
• Collaborate with IT and GenAI platform teams to ensure local solutions align with enterprise infrastructure, leveraging cloud resources (Google Vertex AI, Azure, AWS) effectively.
• Implement code‑level security measures to ensure agents handling sensitive information (e.g., contracts, internal documents) strictly adhere to data privacy and responsible AI guardrails.
• Establish CI/CD pipelines for the testing and deployment of AI agents, ensuring rigorous quality control and risk mitigation before production release.
• Monitor technical performance metrics (latency, token usage, error rates) and optimize code to ensure cost‑efficiency and response quality.
• Translate complex business requirements from Legal, Compliance, and L&D stakeholders into detailed technical specifications and architecture designs.
• Conduct technical feasibility assessments on proposed use cases to determine if they require custom code solutions versus off‑the‑shelf configuration.

What you'll bring to the role:

• Hands‑on experience building custom AI agents using code‑first frameworks such as LangChain, AutoGen, or CrewAI, moving beyond simple prompt engineering to architect complex, multi‑step agentic workflows.
• Deep technical understanding of interacting with LLM APIs (OpenAI, Gemini, Anthropic), including managing context windows, token optimization, structured output parsing, and function calling.
• Demonstrated experience designing data retrieval pipelines (RAG); proficiency working with vector databases (e.g., Pinecone, Weaviate, FAISS) and understanding embedding models for semantic search.
• Experience deploying applications within cloud environments, specifically the Google Cloud ecosystem (Vertex AI, Cloud Functions). Knowledge of serverless architecture and cloud security best practices.
• Solid understanding of modern software engineering workflows, including version control (Git/GitHub), rigorous testing methodologies (unit/integration testing), and CI/CD concepts for automated deployment.
• Strong ability to design, document, and consume RESTful APIs to integrate AI agents with internal business systems and third‑party services securely.
• Fundamental understanding of secure coding practices, particularly regarding data privacy, encryption, and handling sensitive information within AI/ML applications.
• Ability to translate loose business requirements from non‑technical stakeholders (Legal, L&D) into precise technical specifications and architecture plans.
• Strong problem‑solving skills with the ability to debug complex code issues independently and research technical solutions in a rapidly evolving AI landscape.
• Discipline in creating technical documentation (code comments, API docs, architecture diagrams) to ensure maintainability and scalability of developed solutions.

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:

At Geotab, we have adopted a flexible hybrid‑working model in that we have systems, functions, programs and policies in place to support both in‑person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50 mb DL/10 mb UL. Virtual work is supported with cloud‑based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work‑life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. 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.

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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.