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 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. This role involves designing and deploying AI-driven applications, enriching products and services with intelligent generative features, and upholding the entire lifecycle of generative AI solutions. 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 for our Generative AI team, your key area of responsibility will be designing and deploying applications that harness the power of Large Language Models to provide innovative solutions, while optimizing and customizing LLM applications according to specific case requirements to ensure efficiency and scalability. You will need to work closely with cross-functional teams and data scientists to seamlessly integrate LLMs within various enterprise products and services and gather requirements for data science workflows.
To be successful in this role you will be a strong team player with an entrepreneurial mindset and the aptitude to simplify complex AI concepts and data insights for stakeholders not specialized in ML/AI. In addition, the successful candidate will have strong analytical and problem-solving skills with the ability to manage multiple tasks and projects simultaneously while navigating the inherent uncertainties of a research environment.
How you'll make an impact:
- Design and deploy applications that harness the power of Large Language Models to provide innovative solutions.
- 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 the role:
- Bachelors degree in Computer Science, Software/Computer Engineering, or a related field.
- 1-8 years of experience as a Software Developer working on AI/ML/LLM applications.
- 3+ years of hands-on proficiency in Python programming coupled with best practice knowledge.
- Strong foundation in commercial software engineering with experience in API design, implementation, and server-side frameworks like FastAPI.
- Solid understanding of LLMs, including prompt engineering, fine-tuning, LLMOps, function-calling, and RAG.
- Technical experience with LangChain, Semantic Kernel, or AutoGen and familiarity with vector databases and Big Data environments like Google BigQuery.
- Exceptional communication and organizational skills, with the ability to manage multiple priorities in a flat organization.
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.
This posting is for an existing vacancy.
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!
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. 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 careers@geotab.com. 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.
