Senior GenAI Platform Engineer – Data & Analytics

Geotab Inc.; Atlanta (GA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flex working arrangements

Home office reimbursement program

Baby bonus & parental leave top up

Job summary

Geotab Inc. in Atlanta, GA is seeking a Senior Data Platform Developer to build and maintain internal ML platforms and GenAI capabilities. You will enable data scientists and AI developers to train models and deploy agents for internal services and customers.

The role demands strong Python production skills, cloud experience, and container orchestration expertise. Responsibilities include creating reliable logging/monitoring, enriching datasets with telematics, collaborating with data teams, and

Qualifications

• Post-secondary degree in Computer Science, Software or Computer Engineering or related field.
• 3–5 years of experience as a software developer or similar role.
• 3–5 years of production Python development experience.
• 3–5 years of experience with production services in cloud (GCP/AWS/Azure).
• 1–5 years of experience with containerization (Docker/Kubernetes/OpenShift).
• Familiarity with AI/ML platforms and generative AI frameworks is a plus.

Responsibilities

• Develop and maintain new machine learning platforms and generative AI applications and agents.
• Implement logging, monitoring, and alerting to ensure platform health.
• Enrich big data with telematics data at scale.
• Collaborate with data scientists to understand processing needs and build infrastructure to support initiatives.
• Create and maintain architecture/process documentation and assist with data integration.

Skills

Python programming

ML platform development

Logging and monitoring

Data processing

Cloud services

Education

Bachelor's degree in CS/Software/Engineering

Tools

Docker

Kubernetes

OpenShift

Google BigQuery

Langgraph/CrewAI/LiteLLM (familiarity)

Job description

Geotab Inc. in Atlanta, GA is seeking a Senior Data Platform Developer to build and maintain internal ML platforms and GenAI capabilities. You will enable data scientists and AI developers to train models and deploy agents for internal services and customers.

The role demands strong Python production skills, cloud experience, and container orchestration expertise. Responsibilities include creating reliable logging/monitoring, enriching datasets with telematics, collaborating with data teams, and