Publié le mois dernier
Intern AI Systems (Toronto)
@ Birdseye Solutions
Mississauga, Ontario
En bref
Birdseye Solutions is hiring an Intern (AI Systems) in Toronto to design and build agent-based systems that reason, use tools, evaluate outcomes and improve through feedback. The work covers multi-agent design, tool-use workflows, evaluation frameworks and reliability. Graduate students are preferred, with strong self-taught portfolios also encouraged, and the role is hybrid.
Responsabilités :
- Design single-agent and multi-agent systems
- Build tool-use and function-calling workflows
- Design feedback loops and evaluation frameworks
- Improve reliability and failure recovery in agents
Résumé des exigences :
- Understanding of modern AI systems and agent design
- Experience designing multi-step, multi-component systems
- Strong portfolio of AI projects or research
- Graduate students preferred; undergraduates and self-taught candidates encouraged
Outils et compétences
Source et dates
Site carrière / système de candidatures · bamboohr
- Date publiée par l’employeur
- 2026-09-28
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Débutant |
| Domaine | Développement logiciel |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Vérifications | références, casier judiciaire, crédit |
| Formation | Maîtrise (préféré), Doctorat (préféré) |
| Domaines d’études | Relevant technical fields |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Birdseye Solutions
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Virtual Management
Description complète de l’entreprise
BVP Serbia is a Belgrade-based Technical & Operations Support Services company. We are the engine behind some of the fastest-growing North American technology companies. Our team is critical to our clients’ ability to build and manage their core business operations. We are a young and dynamic team of over 300 individuals, personalities, and styles. We work hard. And, we play harder! Our goal is to continue to exceed our clients’ expectations by ensuring we build our business by adding people with whom we can thrive and on whom our clients can rely. We appreciate and promote individual growth and want everyone to reach their full potential. Don’t wait, let’s shape the future together! https://bvpserbia.com/careers/
- Abonnés LinkedIn
- 3 478
- Personnes associées sur LinkedIn
- 199
- Bureaux déclarés
- Tosin bunar 130a, New Belgrade, Central Serbia 11080, RS
- Catégories d’activité
- Information Technology
- Software
- Technical Support
- Outsourcing
- Autres noms enregistrés
- Birdseye Solutions
- BVP
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
BVP Serbia is a Belgrade-based Technical & Operations Support Services company. We are the engine behind some of the fastest-growing North American technology companies. Our team is critical to our clients’ ability to build and manage their core business operations. We are a young and dynamic team of over 300 individuals, personalities, and styles. We work hard. And, we play harder! Our goal is to continue to…
| Champ | Valeur |
|---|---|
| Secteur | IT Services and IT Consulting |
| Taille | 201-500 employees |
| Siège social | New Belgrade, Central Serbia |
| Type d’organisation | Privately Held |
| Offres sur Jobsy | 6 |
| Voir la page |
COMPANY OVERVIEW:
Birdseye’s mission is to help make the world a safer place!
We are the leader in AI-driven Remote Facility Supervision solutions for the Trucking and Logistics Industry. Our Maximum Telepresence Approach™ delivers cutting-edge, data-driven security and operational insights that create a safer working environment for millions of people every year.
We provide end-to-end, cutting-edge hardware and AI-driven solutions, redefining security beyond traditional gatehouses. By empowering our professionally trained monitoring agents, we achieve 99.99% reporting accuracy in mission-critical security, safety, and operational support -24/7/365- for some of the world’s largest logistics facilities, as well as small and medium-sized businesses.
If you're ambitious, thrive in a fast-paced environment, and align with our ICARE values, Birdseye will be the perfect fit for you. If you’re wondering what the world will look like in 10 years - join our Team!
About the Role:
We are looking for an Intern (AI Systems) to help design and build agent-based systems that can reason, use tools, evaluate outcomes, and improve through feedback. We are especially interested in M.A.Sc., M.Sc., and Ph.D. students in relevant technical fields. Candidates with a strong portfolio of projects are also encouraged to apply.
What You'll Work On:
- Designing single-agent and multi-agent systems
- Building tool-use and function-calling workflows
- Designing feedback loops for agents to evaluate and improve their outputs
- Agent planning, memory, delegation, and coordination
- Building evaluation frameworks for agent performance
- Designing systems where agents interact with software, data, and other AI models
- Developing autonomous workflows with human review where appropriate
- Improving reliability, observability, and failure recovery in agent systems
- Exploring approaches to long-running and self-improving AI systems
What We're Looking For:
- We are looking for someone who understands modern AI systems and agent design, and is comfortable thinking about how multiple components work together.
- Designing agent architectures and workflows
- Working with multi-agent systems
- Designing feedback and evaluation loops
- Thinking about tool selection, planning, and task decomposition
- Building systems that can operate over multiple steps
- Evaluating where and why agents fail
- Reading current AI research and applying relevant ideas
- Building and testing ideas independently
Who Should Apply:
-We care more about what you have built and how you think about AI systems than your title or degree. Graduate students are ideal, but undergraduates and self-taught candidates with strong AI projects are also encouraged to apply
-To apply: Please include your resume/CV, portfolio or GitHub, and 1-3 projects or research efforts you are particularly proud of.
This role will require the candidate to complete background checks (includes but not limited to: references, educational verification, criminal check, credit check - where applicable). Certain roles may also require testing.
#LI-Hybrid
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