Closed listing
AI Platform Engineer
- Toronto, ON, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Experience
- 6+ years of engineering experience, including 1–2+ years in AI platform, cloud platform, or emerging-tech enablement
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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
More about this job
Responsibilities
Drive enterprise AI platform enablement by integrating GenAI engineering with cloud technology and governance. The role involves hands-on development of LLM applications, agentic AI, and RAG architectures within an AWS environment.
Requirements
Requires 6+ years of engineering experience, including 1-2 years in AI or cloud platforms, with strong proficiency in Python and AWS services. Candidates must have experience with vector databases, containerized deployments, and implementing enterprise security controls.
Skills
- GenAI
- LLM
- AWS
- Agentic AI
- MCP
- RAG
- Python
- Terraform
- Docker
- Vector Databases
- Graph Databases
- DevSecOps
- Prompt Engineering
- Infrastructure as Code
- Software Engineering
- Stakeholder Management
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Data & Analytics
- Consulting
Keywords
- GenAI
- LLM
- AWS
- Agentic AI
- MCP
- RAG
- Python
- NumPy
- Pandas
- Boto3
- Bedrock
- EC2
- EKS
- Fargate
- Lambda
- Athena
- Glue
- Lake Formation
- Terraform
- Puppet
- Docker
- Weaviate
- Milvus
- PGVector
- Neo4j
- Neptune
- Ragas
- Playwright
- Selenium
- DevSecOps