AI Solutions Architect for Enablement & Automation

OpenKrill; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Geotab is seeking an AI Solutions Developer to architect, build, and operationalize AI applications and agents for Global Enablement. You will implement secure APIs, RAG systems, and full-stack solutions that improve learning, sales enablement, and operational efficiency across the organization.

You will work with Python, LangChain, and AI frameworks, building scalable backend services, and collaborating with IT and GenAI platform teams to align with infrastructure standards.

Qualifications

• Proficient Python development for AI applications.
• Experience building AI agents, automation, and RAG systems.
• Able to design secure, scalable backend services.

Responsibilities

• Architect, code, and deploy AI agents and automation using Python and LangChain/AutoGen.
• Develop backend logic and microservices to support AI workflows.
• Build and integrate retrieval augmented generation (RAG) systems with vector databases.
• Create AI applications with intuitive UIs and secure integrations.
• Establish CI/CD pipelines and security best practices for production release.

Skills

Python

LangChain

AI systems

CI/CD

REST APIs

Tools

PostgreSQL

pgvector

Pinecone

Weaviate

Job description

Geotab is seeking an AI Solutions Developer to architect, build, and operationalize AI applications and agents for Global Enablement. You will implement secure APIs, RAG systems, and full-stack solutions that improve learning, sales enablement, and operational efficiency across the organization.

You will work with Python, LangChain, and AI frameworks, building scalable backend services, and collaborating with IT and GenAI platform teams to align with infrastructure standards.