First seen by our source: 22 days ago
Senior Engineer - Generative AI
@ Rubicon Path
Toronto, Ontario
Overview
Rubicon Path is hiring a Senior Engineer with Generative AI experience for its financial services client in Toronto. The work involves designing and deploying core APIs and SDKs for AI models, with a focus on performance, scalability and safety.
Responsibilities:
- Architect, build and deploy core APIs and SDKs for AI models
- Design APIs for performance, scalability and real-time use
- Develop application-specific interfaces using AI models
- Create tools to monitor API usage and operational health
- Implement AI safety and guardrails in the API layer
Requirements summary:
- Bachelor's degree in Computer Science, Computer Engineering or related field
- 8+ years designing data-intensive distributed solutions
- 4+ years programming in Python, Go, Scala or Java
- 3+ years building and scaling training and inference APIs for deep neural networks
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-15
- Source record updated
- 2026-10-15
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 8+ years |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Computer Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Rubicon Path
| Field | Value |
|---|---|
| Open jobs on Jobsy | 578 |
Our client in the financial service space in Toronto is looking for a Senior Engineer with experience in Generative AI.
Qualifications:
- Bachelors degree in Computer Science, Computer Engineering, or a related technical field
- Minimum of 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques
- Minimum of 4 years of programming experience with Python, Go, Scala, or Java
- Minimum of 3 years of experience building, scaling, and optimizing training and inferencing APIs for deep neural networks
- Architecting, building, and deploying well-managed core APIs and SDKs for accessing AI models
- Designing APIs for performance, scalability, real-time applications, ease of use, and automation
- Developing application-specific interfaces that enhance customer experiences using AI models
- Enabling users to build new AI capabilities
- Creating tools and processes to monitor API usage and ensure operational health
- Implementing AI safety and guardrails in the API layer
Journal
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