Première détection par notre source: il y a 22 jours
Senior Engineer - Generative AI
@ Rubicon Path
Toronto, Ontario
En bref
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.
Responsabilités :
- 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
Résumé des exigences :
- 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
Outils et compétences
Source et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-10-15
- Mise à jour du dossier source
- 2026-10-15
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 8 an(s) et plus |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Computer Science, Computer Engineering |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Rubicon Path
| Champ | Valeur |
|---|---|
| Offres sur 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
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