AI Platform Engineer

Nexus Systems Group; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Nexus Systems Group seeks an experienced AI Platform Engineer to drive enterprise AI platform enablement at the intersection of GenAI engineering, cloud technology, governance, and user enablement.

This hands-on role requires strong software engineering fundamentals with practical GenAI platform experience, including LLM applications, AWS, Agentic AI, MCP, and RAG architectures. The position emphasizes security governance, IaC, and scalable deployments.

Qualifications

• 6+ years of engineering experience with 1-2+ years in AI platform enablement.
• Experience with GenAI models, prompt engineering, and LLM architectures.
• Strong Python skills with NumPy, Pandas, and Boto3.
• Extensive AWS experience across EC2, Lambda, EKS, Fargate, Lake Formation.
• Experience implementing enterprise security and governance controls with InfoSec, Risk, and Compliance.
• Experience with Terraform, Docker, Infrastructure as Code.
• Experience with vector/graph databases (Weaviate, Milvus, PGVector, Neo4j, Neptune).
• Experience with automated testing tools (Playwright, Selenium, Zephyr).
• Strong knowledge of SDLC, Agile Scrum/Kanban, JIRA, Confluence, and JIRA Align.
• Strong stakeholder management, communication, and user-support skills.

Skills

GenAI platforms

LLM applications

Python

AWS

DevSecOps

SDLC

Agile Scrum/Kanban

Prompt engineering

Stakeholder management

Tools

Terraform

Docker

Job description

Our client requires an experienced AI Platform Engineer to help drive enterprise AI platform enablement at the intersection of GenAI engineering, cloud technology, governance, and user enablement.

***This is a hands-on role for someone who combines strong software engineering fundamentals with practical experience in GenAI platforms, LLM applications, AWS, Agentic AI, MCP, and RAG architectures.

Required:

• 6+ years of engineering experience, including 1-2+ years in AI platform, cloud platform, or emerging-tech enablement
• Enterprise level environments and project work
• Hands-on experience with GenAI models (GPT, Claude, Gemini, LLaMA), prompt engineering, Agentic AI, MCP, Graph/RAG, and LLM gateway/proxy patterns
• Strong Python skills, including NumPy, Pandas, and Boto3
• Strong AWS experience across services including AgentCore, Bedrock, EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, and Lake Formation
• Experience implementing enterprise security and governance controls in partnership with InfoSec, Risk, and Compliance
• Experience with Terraform, Puppet, Docker, Infrastructure as Code, and containerized deployments
• Experience with Vector/Graph databases such as Weaviate, Milvus, PGVector, Neo4j, and Neptune
• Experience with automated testing/evaluation tools including Ragas, Playwright, Selenium, and Zephyr
• Strong knowledge of DevSecOps, SDLC, Agile Scrum/Kanban, JIRA, Confluence, and JIRA Align
• Strong stakeholder management, communication, and user-support skills

Nice to have:

• Experience with QuickSight or Tableau for usage and cost reporting, along with knowledge of financial markets and enterprise data systems.
• Experience in banking/financial services