Geotab
Software Developer, Generative AI
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. Who You Are
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Software Developer, Generative AI who will be instrumental in the development and integration of state-of-the-art generative AI capabilities, with a particular focus on Large Language Models (LLMs), into Geotab's product offerings. If you love technology and are keen to join an industry leader we would love to hear from you! What You'll Do
As a Software Developer, Generative AI your key area of responsibility will be designing and deploying AI-driven applications, enriching products and services with intelligent generative features, and upholding the entire lifecycle of generative AI solutions. You will need to work closely with cross-functional teams to weave LLMs into diverse products and services while providing technical leadership and stewardship throughout all phases of the product life cycle. To be successful in this role you will be a technical leader with strong collaboration and problem-solving skills. In addition, the successful candidate will have an ability to manage the full product lifecycle, a strategic mindset, and a strong focus on delivering high-quality, product-oriented solutions. Design and deploy applications that harness the power of Large Language Models to provide innovative solutions. How You'll Make An Impact
Collaborate with cross-functional teams to seamlessly integrate LLMs within various enterprise products and services. Optimize and customize LLM applications according to specific case requirements, prioritizing efficiency and scalability. Remain updated on cutting-edge advancements in AI/ML in areas related to LLMs, Agents, retrieval augmented generation (RAG), and Generative AI. Lead the full product lifecycle from initial ideation to deployment and ongoing maintenance. Develop methodology for LangChain utilization and engage with vector databases to enhance Generative AI applications. Apply LLM expertise in a product-focused manner, sharing passion through professional or personal project involvement. Navigate the research environment's inherent uncertainties with ease. Resolve complex technical challenges with innovative solutions. Communicate intricate AI concepts and data insights in a clear, digestible manner for stakeholders not specialized in ML/AI. Engage collaboratively with data scientists to gather requirements and provide technical expertise in the integration of generative AI capabilities with data science workflows. Create and maintain documentation for architecture, requirements, and process flows. What You'll Bring To This Role
Post-secondary degree specialization in Computer Science, Software or Computer Engineering or a related field. 1-5 years of experience in software development with experience working on AI/ML/LLM applications. Proficiency in Python programming with 3+ years of hands-on experience, coupled with best practice knowledge. Experience in working with LangChain, Semantic Kernel, or AutoGen to construct scalable Generative AI applications strongly preferred. Familiarity with vector databases and their practical implementation and optimization techniques. Experience building RAG (Retrieval Augmented Generation) applications is a plus. Solid understanding of LLMs, including prompt engineering, fine-tuning, LLMOps, function-calling, and retrieval augmented generation. Commercial software engineering experience with a strong foundation in coding and a keen interest in Generative AI. Experience working with server side frameworks like FastAPI as well as API development, documentation, and versioning. Ability to leverage Generative AI knowledge in a product-centric manner. Proven experience dealing with ambiguous problems typically found in a research environment. Experience with API design and implementation. Familiar with Big Data environments (e.g. Google BigQuery). If 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. 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. 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 50mb DL/10mb 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!
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. Who You Are
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Software Developer, Generative AI who will be instrumental in the development and integration of state-of-the-art generative AI capabilities, with a particular focus on Large Language Models (LLMs), into Geotab's product offerings. If you love technology and are keen to join an industry leader we would love to hear from you! What You'll Do
As a Software Developer, Generative AI your key area of responsibility will be designing and deploying AI-driven applications, enriching products and services with intelligent generative features, and upholding the entire lifecycle of generative AI solutions. You will need to work closely with cross-functional teams to weave LLMs into diverse products and services while providing technical leadership and stewardship throughout all phases of the product life cycle. To be successful in this role you will be a technical leader with strong collaboration and problem-solving skills. In addition, the successful candidate will have an ability to manage the full product lifecycle, a strategic mindset, and a strong focus on delivering high-quality, product-oriented solutions. Design and deploy applications that harness the power of Large Language Models to provide innovative solutions. How You'll Make An Impact
Collaborate with cross-functional teams to seamlessly integrate LLMs within various enterprise products and services. Optimize and customize LLM applications according to specific case requirements, prioritizing efficiency and scalability. Remain updated on cutting-edge advancements in AI/ML in areas related to LLMs, Agents, retrieval augmented generation (RAG), and Generative AI. Lead the full product lifecycle from initial ideation to deployment and ongoing maintenance. Develop methodology for LangChain utilization and engage with vector databases to enhance Generative AI applications. Apply LLM expertise in a product-focused manner, sharing passion through professional or personal project involvement. Navigate the research environment's inherent uncertainties with ease. Resolve complex technical challenges with innovative solutions. Communicate intricate AI concepts and data insights in a clear, digestible manner for stakeholders not specialized in ML/AI. Engage collaboratively with data scientists to gather requirements and provide technical expertise in the integration of generative AI capabilities with data science workflows. Create and maintain documentation for architecture, requirements, and process flows. What You'll Bring To This Role
Post-secondary degree specialization in Computer Science, Software or Computer Engineering or a related field. 1-5 years of experience in software development with experience working on AI/ML/LLM applications. Proficiency in Python programming with 3+ years of hands-on experience, coupled with best practice knowledge. Experience in working with LangChain, Semantic Kernel, or AutoGen to construct scalable Generative AI applications strongly preferred. Familiarity with vector databases and their practical implementation and optimization techniques. Experience building RAG (Retrieval Augmented Generation) applications is a plus. Solid understanding of LLMs, including prompt engineering, fine-tuning, LLMOps, function-calling, and retrieval augmented generation. Commercial software engineering experience with a strong foundation in coding and a keen interest in Generative AI. Experience working with server side frameworks like FastAPI as well as API development, documentation, and versioning. Ability to leverage Generative AI knowledge in a product-centric manner. Proven experience dealing with ambiguous problems typically found in a research environment. Experience with API design and implementation. Familiar with Big Data environments (e.g. Google BigQuery). If 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. 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. 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 50mb DL/10mb 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!