AI Solutions Engineer for Enablement & Automation

Geotab Inc.; Atlanta (GA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flex working arrangements

Home office reimbursement program

Baby bonus & parental leave top up

Online learning and networking

Electric vehicle purchase incentive

Job summary

Geotab Inc. is seeking an AI Solutions Developer to architect, build, and operate AI-powered applications and agents that strengthen Global Enablement.

You will implement secure APIs, integrate with business systems, and deliver scalable AI workflows across the organization. You will design RAG pipelines, develop backend services and UIs, and collaborate with IT and GenAI teams to ensure compliance and performance.

Qualifications

• Bachelor's degree or higher in CS/AI/related field
• 3–5 years in AI/ML, data science or software engineering
• Hands-on with multi-step agentic workflows and LLM APIs

Responsibilities

• Design, develop, deploy, and maintain AI-powered applications and agents.
• Code AI solutions in Python, leveraging LangChain and AutoGen.
• Build retrieval augmented generation (RAG) systems with LLMs and vector databases.
• Develop full-stack applications with intuitive UI and secure API integrations.
• Establish CI/CD pipelines, testing, and security guardrails for production readiness.
• Collaborate with enablement, IT, and GenAI platform teams to align with standards.
• Translate business needs into technical specifications and documented flows.
• Ensure scalability, reliability, and cost-efficiency of AI deployments.

Skills

Python

AI/ML concepts

CI/CD

APIs

Communication

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, AI, or related field

Tools

LangChain

AutoGen

PostgreSQL

pgvector

Pinecone

Weaviate

Google Vertex AI

AWS / Azure

Job description

Geotab Inc. is seeking an AI Solutions Developer to architect, build, and operate AI-powered applications and agents that strengthen Global Enablement.

You will implement secure APIs, integrate with business systems, and deliver scalable AI workflows across the organization. You will design RAG pipelines, develop backend services and UIs, and collaborate with IT and GenAI teams to ensure compliance and performance.