Publié il y a 6 jours
Senior AI Engineer
@ NovoEd, Inc.
Télétravail au Canada
En bref
NovoEd, Inc. is hiring a Senior AI Engineer to build production-grade AI-powered backend systems that integrate LLMs and traditional ML models. The work covers vector databases for RAG pipelines, background job processing, and debugging across backend, AI and UI layers.
Responsabilités :
- Design and deploy production AI-powered backend systems
- Integrate LLMs and ML models into scalable architectures
- Optimize vector databases for RAG pipelines
- Debug cross-layer issues across backend, AI and UI
- Conduct dev testing before QA handoff
Résumé des exigences :
- 3 to 5+ years Python backend experience with FastAPI or Flask
- Master's degree in a related field
- Proven production deployment of Python applications
- Applied machine learning experience
- Experience with Celery or other background processing libraries
- Strong testing discipline for backend and AI components
Outils et compétences
Source et dates
Site carrière / système de candidatures · greenhouse
- Date publiée par l’employeur
- 2026-11-04
- Première détection par notre source
- 2026-11-04
- Mise à jour du dossier source
- 2026-11-06
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 | 3 an(s) et plus |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Maîtrise (exigé) |
| Avantages mentionnés | Congés payés généreux |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
NovoEd, Inc.
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.
Where Brilliance Emerges
Description complète de l’entreprise
NovoEd’s collaborative learning platform empowers organizations to design and deliver experiential learning that accelerates business performance on a global scale. Since the company’s founding at Stanford’s social algorithm laboratory in 2012, global corporations, executive education providers, and training firms have relied on NovoEd to develop high-value capabilities through purposeful practice and application, coaching and mentorship, and group collaboration. NovoEd’s proven approach to learning connects diverse groups of learners, mentors, and leaders in a high-impact online environment, unlocking your organization’s collective knowledge and driving measurable outcomes.
- Abonnés LinkedIn
- 12 986
- Personnes associées sur LinkedIn
- 75
- Bureaux déclarés
- 854 Folsom St., San Francisco, California 94107, US
- Catégories d’activité
- Corporate Training
- E-Learning
- EdTech
- Education
- Higher Education
- Human Resources
- MOOC
- SaaS
- Software
- Training
- Education Support & Training Services
- Autres noms enregistrés
- NovoEd, Inc.
- NovoEd
- Spécialités
- Education
- MOOCs
- Online Learning
- Corporate Learning
- Training
- Online education
- Edtech
- Education technology
- e-learning
- Professional Development
- Executive Education
- Leadership Development
- Corporate Learning & Development
- Continuing Education
- and Social learning
- 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.
NovoEd’s collaborative learning platform empowers organizations to design and deliver experiential learning that accelerates business performance on a global scale. Since the company’s founding at Stanford’s social algorithm laboratory in 2012, global corporations, executive education providers, and training firms have relied on NovoEd to develop high-value capabilities through purposeful practice and application…
| Champ | Valeur |
|---|---|
| Secteur | E-Learning Providers |
| Taille | 51-200 employees |
| Siège social | San Francisco, California |
| Type d’organisation | Privately Held |
| Fondée en | 2012 |
| Spécialités | EducationMOOCsOnline LearningCorporate LearningTrainingOnline educationEdtechEducation technologye-learningProfessional Development |
| Offres sur Jobsy | 3 |
| Voir la page |
About Us
We’re a fast-growing product company integrating cutting-edge AI capabilities into our core offering to stay competitive and deliver exceptional value to customers. Our AI work spans task-specific ML models, large language model (LLM) integration, and agentic systems that orchestrate multiple tools to produce end-user results.
We run a Python-based backend (FastAPI + Gunicorn + Nginx) with heavy background job processing using Celery. We’re looking for a senior-level AI Engineer who is equally strong in backend engineering and applied AI — capable of building production-grade systems that are fast, reliable, and maintainable.
What You’ll Do
- Design, develop, and deploy production-grade AI-powered backend systems.
- Integrate LLMs and traditional ML models into performant, scalable architectures.
- Integrate and optimize vector databases for retrieval-augmented generation (RAG) pipelines and other traditional ML queries.
- Write clean, well-structured, and testable Python code following best practices.
- Capable of thinking about performance and ensuring optimal decision making to reduce latency.
- Build hybrid architectures that balance LLM calls with traditional ML.
- Debug complex, cross-layer issues spanning backend, AI inference, and UI integration.
- Conduct thorough dev testing before QA handoff to ensure production reliability.
- Collaborate with product, backend, and frontend engineers to deliver cohesive solutions.
Must-Have Skills & Experience
- 3–5+ years professional backend engineering experience in Python, FastAPI or Flask, and background processing.
- Masters Degree in related field
- Proven record of deploying Python applications to production (not just scripts or academic work).
- Strong grasp of software design patterns
- Strong understanding of backend performance, parallel processing in background jobs and multi-threading
- Proficiency in performance tuning specially for heavy AI models
- Applied machine learning experience — training, evaluating, and maintaining small task-specific models.
- Familiarity with LLM integration, prompt engineering, and context window optimization.
- Proven ability to debug AI behavior, identify root causes, and make targeted fixes.
- Strong testing discipline for both backend and AI components.
- Experience with background processing with Celery or other major libraries
- Experience with monitoring APIs and background processing
- Experience with ensuring visibility and error reporting.
- Nice to have: experience with Docker, understanding of CI/D, deployment automation and Kubernetes
Who Will Succeed in This Role
- Independent problem solver — you can debug without constant supervision.
- Production mindset — you understand that reliability, scalability, and maintainability matter as much as accuracy.
- System thinker — you see backend, AI, and UI as a connected whole.
Why Join Us
- Direct impact on the company’s competitive edge.
- Small, fast-moving team with high autonomy.
- Work on practical, real-world AI applications — not just research.
- Opportunity to shape our AI architecture and best practices from the ground up.
- Benefits Package, with time off and Holiday pay
If you’re a backend-first AI engineer who thrives in shipping production-ready systems and knows how to make AI practical, fast, and reliable — we’d love to talk.
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