Postuler

Publié le mois dernier

AI Inference Engineer

@ Urban Ridge Supplies

Toronto, Ontario

Temps plein2+ ans d’expérience
Postuler
SIGNAUX

En bref

Baseten is hiring a Forward Deployed Engineer to partner with customers on architecting, building and deploying high-scale production AI applications. The role covers the full journey from exploration to production deployment, with hands-on coding alongside product, technical customer success and pre-sales work. The posting states a compensation range of $165K to $330K and full-time employment.

Responsabilités :

  • Design, implement and deploy AI solutions end to end with customers
  • Build and maintain production software, preferably in Python
  • Turn vague objectives into specs and proofs of concept
  • Optimize AI/ML projects and contribute to the technical stack
  • Own projects as engineer, project manager and product manager

Résumé des exigences :

  • Bachelor's, Master's or Ph.D. in CS, Engineering, Mathematics or related field
  • 2+ years of professional experience in a fast-paced environment
  • Production experience with Python preferred
  • Familiarity with AI/ML pipelines and model deployment
  • Strong technical communication skills

Outils et compétences

Avantages mentionnés

Assurance maladieSoins dentairesSoins de la vueRégime de retraiteCongés payésCongé parental
Source et dates

Site carrière / système de candidatures · teamtailor

Date publiée par l’employeur
2026-09-24
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-10-30

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineDéveloppement logiciel
Expérience2 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau, Chez les clients
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (préféré), Doctorat (préféré)
Domaines d’étudesComputer Science, Engineering, Mathematics
Avantages mentionnésCongés payés généreux, Horaire flexible, Congé parental généreux, Régime de retraite, Actions ou participation, Allocation de télétravail

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Urban Ridge Supplies

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.

Supplying high-quality pipes for residential, commercial, and industrial needs.

Description complète de l’entreprise

Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.

Abonnés LinkedIn
14 005
Bureaux déclarés
  • Sheikh Mohammed bin Rashid Boulevard 1, Zabeel, Dubai, AE
Autres noms enregistrés
  • Urban Ridge Supplies
Le profil indique une agence de recrutement
Non

Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.

ChampValeur
SecteurWholesale Building Materials
Taille2-10 employees
Siège socialZabeel, Dubai
Type d’organisationPrivately Held
Offres sur Jobsy124
LinkedInVoir la page
Description

About Baseten

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes.

This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations.

To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in.

EXAMPLE INITIATIVES

Take a look at these blog posts written by members of our Forward Deployed Engineering team:

  • Forward Deployed Engineering on the frontier of AI
  • The fastest, most accurate Whisper transcription
  • Deploy production-ready model servers from Docker images
  • Deploy custom ComfyUI workflows as APIs

Responsibilities

  • Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.
  • Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.
  • Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers
  • Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.
  • Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.
  • Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
  • Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.

Requirements

  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
  • 2+ years of professional work experience in a fast-paced, high-growth environment.
  • Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python.
  • Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.
  • Strong communication skills, particularly on complex technical topics.
  • Experience in building or optimizing AI/ML projects is highly valued.

Benefits

  • Competitive compensation, including meaningful equity
  • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • (U.S. only) Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Compensation Range: $165K - $330K


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