Software Developer, Generative AI
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 a Software Developer, Generative AI who will work on developing, testing, and deploying high-performance Generative AI capabilities to solve complex problems and create innovative products. 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 to drive the development and implementation of cutting edge Generative AI systems and solutions that address complex challenges in the telematic industry with a particular focus on Large Language Models (LLMs), into Geotab’s product offerings and enhance operational efficiency. This position is responsible for developing the end-end GenAI project lifecycle including designing, developing and deploying GenAI models tailored to telematic applications. Collaborating closely with our team, this role will influence our overall strategy, define roadmaps, drive system architecture, and establish best practices.
To be successful in this role you will be a self-starter with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.
How you'll make an impact
- Develop scalable and efficient Generative AI Applications.
- Develop LLM-powered solutions using the various techniques that exist to reach product goals. Decide on the right model architecture for different requirements.
- Design the right architecture based on product needs, balancing trade-offs like AI safety and latency.
- Collaborate with cross-functional teams to integrate AI technologies seamlessly into the platform, ensuring a personalized and impactful learning experience.
- Engage with the AI communities, contributing to and applying the latest findings and technologies to our AI initiatives.
- Write clean, maintainable, and well-documented code following best practices and coding standards.
- Ensure adherence to coding standards, best practices and maintain a high level of code quality within the development team.
- Conduct code reviews and provide constructive feedback to team members.
- Maintain comprehensive documentation of development processes.
- Stay updated with the latest advancements in Generative AI, Machine learning and related fields.
- Identify and implement improvement to the development process and workflows.
- Evaluate and integrate new tools and technologies to enhance the GenAI development pipeline.
- Take the ownership of key development projects, ensuring that the software aligns with business goals, timeline and expectations.
- Managing technical risks to deliver expected solutions.
- Remain updated on cutting-edge advancements in areas related to LLMs, Agents, retrieval augmented generation (RAG), and Generative AI.
What you'll bring to the role
- 1-3 years of experience in software development with a focus on AI/ML. Proven track record of designing and implementing GenAI applications. Proficiency in Python programming languages.
- Masters in Computer Science, Engineering, Mathematics or related field.
- Experience with cloud computing platforms (e.g. GCP, Azure, AWS) and distributed computing.
- Experience working with server side frameworks like FastAPI as well as API development, documentation, and versioning.
- Knowledge of containerization technologies like Docker and Kubernetes.
- Experience working with GitLab CI for process automation including testing, analyzing, reviewing, building, and deploying code.
- Experience working with and/or contributing to open source projects.
- Familiar with GenAI and AI frameworks such as Langchain, Langgraph, Llamaindex, etc.
- Stay abreast of industry trends and advancements in Generative AI and prompt engineering, incorporating best practices into our development lifecycle.
- Be a mentor for the rest of the team to share best practices for AI product development.
- Strong understanding of large language models (LLMs) and various techniques for deployment.
- Excellent problem-solving skills and ability to think creatively.
- Strong communication and collaboration skills.
- Ability to work effectively in a fast-paced and dynamic environment.
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
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