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. 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 your key area of responsibility will be to design and deploy AI-driven applications, enriching products and services with intelligent generative features, and upholding the entire lifecycle of generative AI solutions. You will engage 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. You will also be a mentor for the rest of the team to share best practices for AI product development. 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

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

• • 5 years of experience as a software developer 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.
  • Ability to leverage Generative AI knowledge in a product-centric manner.
  • Proven experience dealing with ambiguous problems typically found in a research environment.
  • Exceptional communication skills with the aptitude to simplify complex concepts for an audience less familiar with ML/AI.
  • Experience with API design and implementation.