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Added 2 months ago
Data Solutions Engineer
Evismart
Vancouver, BC
Proficiency in Python for data analysis and workflow automation.
Added 1 month ago
Principal AI Engineer - Tangerine
Scotiabank
Toronto, ON
Extensive experience in Python and its core data science libraries (e.g., Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn)
Added 6 months ago
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Research Engineer, Sensor Signal Processing
Waabi
Toronto, ON
- $155,000 to $269,000 USD / year
- Full-time
As a Research Engineer in Sensor Signal Processing, you will be a key contributor to the research and development of Waabi’s signal processing stack for autonomous driving. You will…
Added 1 month ago
Senior Site Reliability Engineer (SRE)
Tubi - Canada
Toronto, ON
…running large-scale, distributed systems. Our mission is to engineer resilience from the ground up, enabling our product teams to innovate rapidly while ensuring our users have a stellar…
Added 1 month ago
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Technical Specialist, Senior - Vital Software
Hitachi
Toronto, ON · (RSBU) Toronto
- Full-time
Added 5 months ago
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AI Engineer - Remote
Huzzle.com
Canada
- Full-time
We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You'll work closely with product, engineering, and data…
Added 6 months ago
MA
AI Intern / AI Engineer
Metry AI
Remote, Canada
- Remote
Python / FastAPI / LangChain / PyTorch / TensorFlow
Added 6 months ago
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Field Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
As a Field Engineer Co-op at Acceldata, you’ll be working hands-on with complex distributed systems, helping real customers solve deep infrastructure and data observability challenges.
Added 6 months ago
A
Sales Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
Summary As a Sales Engineer Co-op at Acceldata Inc, you will work closely with our sales engineering team to support customer-facing initiatives across solution design, pre-sales, and…
Added 6 months ago
PI
Optical Engineer (Ph.D. / Early Career)
Photonic Inc.
Coquitlam, British Columbia
- Full-time
Photonic is seeking a talented Optical Engineer to support the design and engineering of optical sub-systems that advance our quantum computing roadmap. This is an excellent opportunity for…
Added 6 months ago
AI
Solution Engineer - Tooling (Vehicle Intelligence)
Applied Intuition
Owen Sound, Ontario
- Full-time
…validating intelligent systems at petabyte scale. As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build…
Added 6 months ago
AI
Solution Engineer - Vehicle OS
Applied Intuition
Owen Sound, Ontario
- Full-time
We are looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition’s Vehicle OS portfolio. In this role you will work closely with vehicle…
Added 6 months ago
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Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
As a Machine Learning Engineer (Product AI), you'll build ML/AI tools that power SEAI's Decision Engine for our enterprise clients. You'll own the complete development lifecycle, from…
Added 3 months ago
GP
AI/ML Engineer Intern (2027)
Georgian Partners Growth
Remote, Canada
- Internship
- Remote
Are you an aspiring AI Engineer eager to gain real-world impact and learn how to push AI's boundaries? Imagine diving into diverse, cutting-edge AI problems across multiple high-growth…
Added 3 months ago
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Senior Full Stack Engineer, App Runtime
Snowflake
Toronto, Ontario
- $245,250 to $295,250 CAD / year
- Full-time
As a Senior Full Stack Engineer, you will drive initiatives that span our product areas and tech stack. It’s a high-impact role - you will work on an early-stage, public-preview product.…
Added 2 months ago
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Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO
Toronto, ON
- Full-time
BDO Digital is looking for a Senior GCP Cloud Engineer to join their growing team. The individual will own the following responsibilities:
Added 2 months ago
IT Systems Engineer - Identity
Asana
Vancouver, BC
Asana is seeking an experienced IT Systems Engineer (Identity) to join our growing IT Team and support the critical systems that keep IT moving forward. The ideal candidate will be focused…
Added 2 months ago
Senior Data/AI Engineer
Guidepoint
Toronto, ON
Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to…
Added 1 month ago
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Applied AI Engineer
MANNARINO
Montreal, QC
- Full-time
We are seeking an Applied AI Engineer to help implement secure, reliable AI-assisted workflows for engineering and business activities. The successful candidate will report to the person…
Added 1 month ago
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Product Security Engineer, North Security
Cohere
Remote, Canada
- $180,000 to $385,000 CAD / year
- Full-time
- Remote
We're hiring a Senior Product Security Engineer to work these problems alongside the engineers building the products, reviewing architecture and code, threat modeling before implementation,…
Added 6 months ago
QT
Senior Applied AI Engineer - Product & Revenue Systems
QEA Tech
Markham, Ontario
- Full-time
Python and modern AI / ML development workflows
Added 6 months ago
RA
Staff Embedded Software Engineer, Virtualization
Rivian and Volkswagen Group Technologies
Vancouver, British Columbia
- $137,300 to $181,890 CAD / year
- Full-time
As a Staff Embedded Software Engineer, you will transform real-world ECU firmware into high-performance virtual devices that run on everyday workstations and cloud servers. Your work closes…
Added 6 months ago
DI
Founding Engineer (Python / FastAPI / LLM)
Daixta intelligence
Remote, Canada
- $60,000 to $70,000 CAD / year
- Full-time
- Remote
You'll be the founding engineer at Daixta. You'll build the product end-to-end with the founder from prototype to first paying customer.
Added 6 months ago
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Backend Performance & Systems Engineering (Project)
Elumai
Remote, Canada
- Full-time
- Remote
Stack: Python, FastAPI, PostgreSQL, Google Cloud Platform
Added 6 months ago
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Senior Backend Engineer (.NET & AI/ML)
Zonda
Toronto, Ontario
- $110,000 to $130,000 CAD / year
- Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…

Elumai

Backend Performance & Systems Engineering (Project)

Remote, Canada

Remote

Full-time

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Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: May 5, 2026

Original job description

Product: Agentic AI tutoring platform Company: Elumai Stage: Pre-launch, preparing for general availability Engagement: Fixed-price project. Budget to be proposed. Duration: Approximately 10-12 weeks. Location: Remote. Americas time zones preferred. Stack: Python, FastAPI, PostgreSQL, Google Cloud Platform About Elumai Elumai is an agentic AI tutoring platform. The system pairs specialized expert models with per-learner adaptation that captures how each learner actually thinks, not just what they get right. The backend is mature and already in production; we are preparing for general availability and investing in the performance and infrastructure that will carry us there. This is a hands-on, high-autonomy role suited to someone who prefers a small, experienced team to a large organization, and who is comfortable working in an actively evolving codebase as we approach general availability. We are a small team working without intermediary management so you would work directly with the founder and frontend engineer. Project overview This is a finite engagement to deliver a defined set of performance and systems improvements across the Elumai backend. The project spans five workstreams: queue and background worker architecture, database performance, core subsystem performance, API contract refinement, and edge-case latency and production readiness. Each workstream has named deliverables and acceptance criteria. The engagement is for incremental improvement to harden subsystems and refine architecture progressively, not a single large rewrite. The engagement ends when those deliverables are met. Scope Queue and background worker architecture Select and deploy a queue primitive appropriate to our stack (Cloud Tasks, Pub/Sub, Celery, Temporal, or equivalent). Migrate non-response compute off the critical path with durable retry semantics. Define retry, failure, and observability behavior for all queued work. Produce a design document and operational runbook. Database performance PostgreSQL query plan analysis and index design on the highest-impact endpoints. Connection pooling and query shaping. Pgvector tuning for our retrieval workloads. Establish and document an eager-vs-lazy loading strategy across the pipeline rather than leaving it to per-endpoint convention. Core subsystem performance Implement time-budgeted execution with graceful degradation under load on core retrieval and computation paths. Measure baseline and improved performance. Document behavior, budgets, and fallback paths. API contract refinement Partner with our frontend engineer to define response shapes, streaming envelopes, and error semantics. Contracts should be driven by the needs of the user interface, not the convenience of the backend. Document the contracts so they can be extended after the engagement ends. Edge-case latency and production readiness Bring latency in edge-case paths closer to parity with the primary path through pre-warming, parallel speculative execution, and tighter conflict resolution handling. Instrument diagnostics for latency incidents, database pressure, query plan regressions, and LLM serving edge cases. Establish patterns that let the team diagnose recurring production issues without contractor involvement. Deliverables Queue and worker infrastructure deployed to GCP, with at least three high-impact background tasks migrated off the response path. Documented retry, failure, and observability semantics. PostgreSQL and pgvector tuning applied to production, with before/after benchmarks. Written eager-vs-lazy loading strategy, adopted across the pipeline. Time-budgeted core subsystem in production with measured performance. API contract specifications documented and agreed with the frontend engineer. Edge-case latency improvements shipped to production, with before/after benchmarks on the three highest-impact paths. Diagnostic tooling and runbooks for recurring production issues: latency incidents, LLM serving edge cases, and query plan regressions. Design documents and operational runbooks for all subsystems delivered. Production-ready code meeting the standard of the existing backend (typed, tested, reviewed). Acceptance criteria Measurable P95 latency reduction on the primary request path and on previously underperforming edge-case paths. Target: 30% or greater improvement on identified endpoints. No background work on the response path for the migrated tasks. Failed queue work retried with documented bounds. No silent drops. PostgreSQL query plan regressions resolved on the endpoints in scope. Core subsystems operate within measured time budgets with defined fallback behavior. API contracts documented, implemented, and consumed by the frontend. Diagnostic runbooks exist for latency incidents, LLM serving edge cases, and query plan regressions, usable by the team without contractor involvement. All design documents and runbooks merged to the main branch. What to send us A short proposal covering: Approach. How you would sequence the five workstreams, and which dependencies you see between them. Timeline. Weeks to completion, with milestones and a proposed order of delivery. Price. Fixed price for the project. Acceptance criteria. Any you would adjust, add, or remove. Risks and dependencies. What could go wrong, and what you will need from us. Also, briefly answer in your cover note: What is the most meaningful backend performance improvement you have shipped, and how did you measure it? Describe a project you scoped down mid-engagement. What did you cut, and why? How do you approach inherited code you disagree with? Required Demonstrated experience shipping production backend services at early-stage companies. Strong command of Python: FastAPI, async/await, structured concurrency, background workers, and the failure modes of asynchronous systems. Production experience with at least one queue system (Celery, Cloud Tasks, Pub/Sub, RQ, Temporal, or similar). Deep PostgreSQL performance instincts, including direct experience diagnosing and resolving query plan issues under production load. pgvector experience preferred. Experience with performance-sensitive subsystems and techniques for keeping them affordable (time-budgeted execution, pre-computed paths, caching strategies). Familiarity with LLM pipelines, agentic frameworks, or complex state machines. An understanding that the model is one component within a larger system. Strong intuition for the distinction between perceived and actual latency, and familiarity with techniques (speculative execution, optimistic streaming, partial results) that bridge the two. Professional maturity regarding inherited code paired with a high standard for the quality of new work. Preferred Google Cloud Platform (Cloud Run, Cloud SQL, Cloud Tasks, GCS). Server-Sent Events and other streaming protocols. Self-hosted model serving experience. PostgreSQL replication and read-replica routing. Engagement details Fixed-price project. Milestone-based payment (typical split: deposit on signing, milestone payments per workstream, final payment on delivery). Code produced under this engagement is assigned to Elumai. Standard IP clauses apply. Remote. Americas time zones preferred for alignment. Contractors handle their own tax and invoicing in their home jurisdiction. The codebase is actively evolving as we approach general availability. Successful engagement may lead to follow-on work. We are not committing to follow-on at this stage. How to apply Send your proposal and answers to [email protected] by May 26, 2026. CV or equivalent welcome. Keep submissions under three pages.

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