Posted 2 days ago
Senior AI Engineer
@ NovoEd, Inc.
Remote in Canada
Overview
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.
Responsibilities:
- 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
Requirements summary:
- 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
Tools & skills
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-11-04
- Source record updated
- 2026-11-04
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 3+ years |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required) |
| Perks mentioned | Generous paid time off |
Summary and details written by AI from the posting; the employer’s posting is the authority.
NovoEd, Inc.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Where Brilliance Emerges
Full company description
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.
- LinkedIn followers
- 12,986
- People associated on LinkedIn
- 75
- Reported office locations
- 854 Folsom St., San Francisco, California 94107, US
- Business categories
- Corporate Training
- E-Learning
- EdTech
- Education
- Higher Education
- Human Resources
- MOOC
- SaaS
- Software
- Training
- Education Support & Training Services
- Other recorded names
- NovoEd, Inc.
- NovoEd
- Specialties
- 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
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
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…
| Field | Value |
|---|---|
| Industry | E-Learning Providers |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2012 |
| Specialties | EducationMOOCsOnline LearningCorporate LearningTrainingOnline educationEdtechEducation technologye-learningProfessional Development |
| Open jobs on Jobsy | 3 |
| View 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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