Software Developer, Generative AI
Geotab is a global leader in IoT and connected transportation, seeking a Software Developer who will be instrumental in the development and integration of generative AI capabilities into their product offerings. The role involves designing and deploying applications that utilize Large Language Models, collaborating with cross-functional teams, and optimizing AI-driven solutions for efficiency and scalability.
Responsibilities
- 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
Skills
- 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
Benefits
- 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
Company Overview