6 meilleures offres (staff applied ai agent developer, toronto on) (à pourvoir)

Staff Applied AI Agent Developer
Google —Toronto, ON
- De 207 000 $ à 301 000 $ par an
- Temps plein
- Doctorat
- Informatique
- Ingénierie
Staff, Applied AI Engineer
Headstart —Toronto, ON
- 265 000 $ par an
- Temps plein
- Travail hybride
- APIs
- Intelligence artificielle
- Python
- Aide au Transport Quotidien
- Assurance Dentaire
Associate Software Developer-Machine Learning
Vector Institute —Toronto, ON
- De 80 500 $ à 100 600 $ par an
- Temps plein
- Azure
- Informatique
- Maîtrise
Postuler rapidement
il y a 8 jours
Staff Software Engineer, App Runtime
Snowflake —Toronto, ON
- Informatique
- Ingénierie
- Java
Member of Technical Staff (Agents)
MLabs —Toronto, ON
- De 140 000 $ à 260 000 $ par an
- Temps plein
- APIs
- En présentiel
- Intelligence artificielle
- Assurance Dentaire
Postuler rapidement
Principal AI Engineer
Gorgias —Toronto, ON
- De 306 157 $ à 383 745 $ par an
- Temps plein
- CAD
- Diplôme universitaire non requis
- APIs
- Congés payés
- Congé de maladie payé

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Staff Applied AI Agent Developer

Google -
Toronto, ON

Postuler dès maintenant

Détails du poste

Temps plein
De 207 000 $ à 301 000 $ par an

Profil recherché

Droit
Doctorat
Informatique
Ingénierie
Structure de données
Maîtrise
Baccalauréat
Systèmes distribués
Traitement du langage naturel
Intelligence artificielle
Évaluation de modèle

Description complète du poste

This posting is for a new vacancy.

Google utilizes AI tools to assist in assessing candidates in our hiring processes.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada; New York, NY, USA; Sunnyvale, CA, USA.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Experience with core GenAI concepts (e.g., Large Language Model (LLM), multi-modal, large vision models) and experience with text, image, video, or audio generation.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
Experience in Vertex AI, BigQuery, Cloud Storage, and Dialogflow.
Experience in prompt development, model evaluation, and the creative application of Artificial Intelligence (AI).
Ability to be flexible and resilient in dynamic environments where priorities often shift and to take ownership and respond to urgent business or customer issues.

About the job

Google's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Staff Applied AI Agent Developer, you will be at the forefront of applying Google's Generative AI to solve real-world challenges for our most strategic customers. You will act as a specialized software developer embedded with key accounts, working direct to build, deploy, and optimize sophisticated AI agents on our platform. This is a high-impact role that bridges the gap between our core product development teams and complex customer needs, directly accelerating customer success and shaping the future of our AI products.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Canada: $216000 - $222000 (CAD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Partner directly with select, strategic customers to understand their business challenges. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.
Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues.
Systematize your learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices that can be used across the organization.
Serve as a critical feedback loop to our core Product and Development teams. Synthesize insights from the field to influence product strategy, identify feature gaps.
Act as a subject matter expert, providing technical guidance and best practices to customers on agent improvement, performance tuning, CI/CD pipelines, and production readiness.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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