{"id":2949216,"url":"https://alion.io/job/geotab-ai-solutions-developer","title":"AI Solutions Developer (Remote)","company":{"id":58253,"name":"Geotab","domain":"geotab.com","url":"https://alion.io/company/geotab","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":15,"ghost_share":0.067,"stale_share":0.4,"repost_share":0.133,"time_to_fill_p50_days":35,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Oakville, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":127000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"FAISS","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-10-20T16:11:58Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-22T12:23:49Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Who we are:\nGeotab ® 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.\nGeotab 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.\nOur 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 our blog and follow us @InsideGeotab on Instagram. \nWho you are:\nWe 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!\nWhat you’ll do:\nAs 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.\nTo 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.\nHow you’ll make an impact:\nArchitect, 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.\n\nDevelop and maintain backend logic and microservices required to support AI workflows, ensuring high availability and scalability of deployed agents.\n\nBuild 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.\n\nWrite 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.\n\nDevelop complete AI applications, including intuitive user interfaces, backend services, and secure integrations for internal and external users.\n\nImplement conversation management, context retention, structured outputs, and tool calling to support interactive learning, guidance, and multi step workflows.\n\nEvaluate and integrate conversational AI, speech recognition, speech generation, interactive avatars, and multilingual capabilities.\n\nBuild self service tools and AI supported workflows in partnership with subject matter experts, incorporating appropriate review and approval steps.\n\nDesign and implement secure RESTful API integrations to connect AI agents with business systems, learning and sales enablement platforms, knowledge repositories, and third party platforms.\n\nDevelop reusable code libraries, API wrappers, and solution frameworks to accelerate technical development across Global Enablement and ensure consistency in the codebase.\n\nCollaborate 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.\n\nDevelop knowledge ingestion and synchronization processes to keep connected content current, approved, and appropriate for its intended audience.\n\nImplement authentication, authorization, and role based access controls for internal, partner, and customer facing applications.\n\nDesign solutions that support future integrations and additional enablement use cases without unnecessary duplication or redevelopment.\n\nImplement code level security measures to ensure agents handling sensitive information, including internal documents and customer data, adhere to data privacy and responsible AI guardrails.\n\nEstablish continuous integration and continuous deployment (CI/CD) pipelines for testing and deploying AI agents, ensuring rigorous quality control and risk mitigation before production release.\n\nMonitor technical performance metrics, including latency, token usage, and error rates, and optimize code to ensure cost efficiency and response quality.\n\nEstablish AI evaluation processes to test answer accuracy, retrieval quality, relevance, and appropriate handling of unsupported requests.\n\nImplement safeguards against unauthorized information access, prompt injection, and unintended actions, including human approval and escalation where appropriate.\n\nMaintain separation of internal, partner, and customer facing content, with appropriate controls to protect information across users and organizations.\n\nMaintain deployed solutions through monitoring, troubleshooting, updates, and continuous improvement.\n\nDocument deployment procedures, support requirements, and operational handover processes to ensure continuity.\n\nTranslate complex business requirements from Global Enablement stakeholders into detailed technical specifications and architecture designs, supporting revenue generation, sales readiness, training effectiveness, and operational efficiency.\n\nConduct technical feasibility assessments on proposed use cases to determine whether they require custom code, existing platform configuration, or a combination of approaches.\n\nResearch and prototype emerging AI technologies, including new LLM releases and agentic frameworks, to maintain an effective and current technical stack for Global Enablement.\n\nPartner with subject matter experts to translate specialized knowledge, learning objectives, and business processes into AI applications.\n\nCollaborate with experts and end users to validate accuracy, instructional quality, usability, and effectiveness.\n\nDefine clear scopes, delivery phases, dependencies, and success criteria, communicating technical risks and tradeoffs to stakeholders.\n\nIdentify opportunities to automate repetitive work and create self service experiences across enablement teams, selecting AI or conventional automation as appropriate.\n\nEvaluate opportunities to consolidate or replace existing applications with AI enabled solutions, considering functionality, cost, security, migration requirements, and ongoing support.\n\nMeasure solution impact through adoption, time saved, quality improvements, operating costs, and contribution to agreed enablement outcomes.\n\nWhat you’ll bring to this role:\nBachelor’s degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related quantitative field; Master’s degree preferred.\n\n3-5 years of proven experience in AI/ML, Data Science, or software engineering roles with a focus on building and deploying intelligent systems or automation.\n\nStrong proficiency in Python (including pandas and asynchronous programming) and working proficiency in JavaScript or TypeScript for user-facing applications.\n\nHands-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.\n\nDemonstrated experience designing RAG pipelines using PostgreSQL with pgvector and vector databases or search libraries such as Pinecone, Weaviate, and FAISS.\n\nExperience deploying applications in Google Cloud (Vertex AI, Cloud Functions), with solid knowledge of Git, testing, CI/CD, RESTful APIs, and secure coding practices.\n\nProfessional certifications in Google Cloud, Azure, AWS, or specific AI technologies, and experience with speech, avatar, or multilingual capabilities, are considered an asset.\n\nIf you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.\nPlease 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.\nThis posting is for an existing vacancy.\nWhy job seekers choose Geotab:\nFlex working arrangements\nHome office reimbursement program\nBaby bonus & parental leave top up program\nOnline learning and networking opportunities\nElectric vehicle purchase incentive program\nCompetitive medical and dental benefits\nRetirement savings program\n*The above are offered to full-time permanent employees only\nHow we work:\nAt Geotab, we thrive on a flexible hybrid work model that combines the dynamic energy and connection of in-person collaboration with the independence and flexibility of virtual work. We believe that coming together in person is fundamental to cultivating trust, nurturing a vibrant culture of belonging, and fostering meaningful innovation across our diverse teams. Office visit schedules are tailored thoughtfully based on role requirements. Specific expectations regarding workplace location and on-site attendance for this position will be shared during the hiring process.\nWe believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. 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