Senior Data Platform Developer, AI Platform

Senior Data Platform Developer, AI Platform

Atlanta, Georgia - USA

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 seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production.

As a Senior Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure, as well as enriching big data with telematics data at scale.

• Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
• Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure.
• Develop processes to enrich Geotab’s big data with telematics data at scale.
• Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
• Create and maintain documentation for architecture, requirements, and process flows.
• Support internal Geotab teams to assist with data integration with newly developed AI platforms.

• Post‑secondary degree specialization in Computer Science, Software or Computer Engineering or a related field.
• 3‑5 years experience in a software developer or a similar role.
• 3‑5 years experience in developing production‑level systems using Python 3.
• 3‑5 years experience in developing and maintaining production services in one of the mainstream cloud providers such as GCP, AWS, or Azure.
• 1‑5 years experience in designing, building and maintaining production‑level application containerization, such as Docker, Kubernetes, or Open Shift.
• Knowledge of fine‑tuning and self‑hosting vision large language models and generative AI related frameworks (Langgraph, CrewAI, LiteLLM) is a big plus.
• Knowledge of AI/ML platforms, such as Ray, Vertex
  
  AI, Bedrock is a big plus.
• Familiar with Big Data environments (e.g. Google Big Query).

• 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.

We encourage applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired.