Jobs in Canada

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Added 2 months ago
EC
Senior Software Engineer - Full Stack
Emburse Chrome River
Toronto, ON
- Full-time
6+ years of software development experience, preferably with Project Lead experience
Added 2 months ago
K
Structural Designer - Kiewit Power Engineering
Kiewit
Calgary, AB
- Full-time
Must have a basic knowledge of the latest computer operating systems
Added 2 months ago
Research Engineer Test Pilot (Fixed Wing)
National Research Council Canada
Ottawa, ON
Individuals must have lived in Canada for a sufficient period of time to enable the security screening process · Licencing - Must hold and maintain a valid Airline Transport Pilot License – aeroplane;
Added 5 months ago
Q
Principal Engineer - Protection & Control
Qualus
Vancouver, BC
- Full-time
Power your future with Qualus as a Principal Protection and Control Engineer, to join our well-established Protection & Control team of engineers and designers in Canada, in our…
Added 2 months ago
C&
Senior Regulatory Compliance Engineer
Communications & Power Industries (CPI)
Georgetown, ON
- Full-time
We are seeking a Senior Regulatory Compliance Engineer responsible for ensuring global regulatory and standards compliance for medical X-ray generator systems, high-voltage power supplies,…
Added 2 months ago
H
System Design Specialist, Intermediate
Hitachi
Toronto, ON · (RSBU) Toronto
- Full-time
…system design features that satisfy customer requirements and project objectives. They will analyze and evaluate customer requirements, assess compliance with product and system technical…
Added 2 months ago
PG
Senior RPA Engineer
Peoples Group
Vancouver, BC · Toronto, ON · AB
- Full-time
…processes. When new initiatives require automation, dedicated Project Managers handle the requirements and backlog population, allowing our engineers to focus strictly on technical design,…
Added 2 months ago
C
Strategic Lead – Indigenous Relations & Federal Opportunities (Intermediate to Senior)
CIMA+
Burlington, ON · Ottawa, Ontario
- $97,360 to $133,870 CAD / year
- Full-time
…prioritize the environmental, social, and economic benefits of every project. Our engineers and certified technicians have the detailed knowledge of local conditions to provide the full…
Added 2 months ago
SC
Air Quality Scientist/ Engineer (Dispersion Modelling)
SLR Consulting
Kamloops, BC · Kelowna, BC · Nanaimo, BC · Prince George, BC · Vancouver, BC · Victoria, BC
- Full-time
As our new Air Quality Scientist/ Engineer , you will play an important role on a team whose work is essential to achieving this goal.
Added 2 months ago
BR
Electrical Engineering Lead
Braya Renewable Fuels
NL
- Full-time
Lead or support electrical engineering projects, including scope development, cost estimates, design, procurement, construction, commissioning, and closeout.
Added 6 months ago
H
Control & Automation Engineer-in-training- St.John's
Hatch
St. John's, Newfoundland and Labrador · Greater St. John's Metropolitan Area
- Full-time
Join our Project Delivery Group (PDG), a dynamic team of professionals passionately committed to world-class project delivery across the globe. With expertise in sustainable studies, asset…
Added 6 months ago
A
Director, Studies (Minerals & Metals)
Ausenco
Toronto, Ontario
- Full-time
…environments. Delivering innovative, value-add consulting, project delivery, asset operations and maintenance solutions is what we do. From 22 offices in 9 countries, with projects in over…
Added 6 months ago
T9
Game Developer (Gacha Role-Playing Games)
Tier 9 Game Studios
Toronto, Ontario
- Full-time
Role: Game Developer / Software Engineer (Gacha Role-Playing Games)
Added 6 months ago
LH
Multimodal AI Systems Engineer
Link Horizon
Kitchener, Ontario · Ottawa, Ontario
- $75,000 to $150,000 CAD / year
- Full-time
…capture high-frequency aerial data across large-scale land development projects. Off-site, we’re building the intelligence layer - a multimodal AI system that fuses vision data with project…
Added 6 months ago
LH
Site Intelligence Engineer
Link Horizon
Kitchener, Ontario · Ottawa, Ontario
- $75,000 to $140,000 CAD / year
- Full-time
…capture high-frequency aerial data across large-scale land development projects. Off-site, we’re building the intelligence layer - a multimodal AI system that fuses vision data with project…
Added 6 months ago
S
AI Engineer
Softrip
Remote, Canada
- $110,000 to $150,000 CAD / year
- Full-time
- Remote
Small-team operating experience. You’ve shipped in a team of fewer than 5 people and owned the full path from development to production. Former founders and consistent side-project builders…
Added 6 months ago
EG
Civil Engineer/EIT- can be based in Winnipeg, Halifax, or BC
EFI Global
Winnipeg, Manitoba
- Full-time
…and/or roof failures, and cost estimations through repair scope…
Added 6 months ago
K
InSAR R&D Engineer (Contract)
KorrAI
Remote, Canada
- Contract
- Remote
KorrAI is looking for an InSAR Processing & R&D Engineer to work on specific high impact problems in our InSAR pipeline. This is not a generic GIS or remote sensing role. We are looking for…
Added 5 months ago
KG
Structural Engineer (Senior Level)
Kleinschmidt Group
Halifax, NS
- $135,000 to $180,000 CAD / year
- Full-time
Must possess permanent authorization to work in Canada and able to acquire authorization to work in the United States
Added 4 months ago
EP
Senior Substation Engineer [Hybrid]
EDF power solutions
Montreal, Quebec
- Full-time
Rewarding learning & career development and advancement opportunities.
Added 4 months ago
A
Track Site Engineer Light Rail Transit/Passenger & Freight Rail
Arcadis
Calgary, Alberta
- Full-time
Arcadis is seeking a Track Site Engineer to join our growing Rail & Transit team. In this role, you will bring a balanced blend of progressive design experience and project…
Added 2 months ago
C
Senior Test Automation Engineer – AI Testing
Cognizant
Montreal, QC
- Full-time
Added 2 months ago
T
Naval Architecture Sub-Discipline Manager
Thales
Victoria, BC · Halifax, NS
- Full-time
…life cycles; from requirements analysis and design, through development, integration, test and…
Added 2 months ago
M
Mechanical product simulation engineer (15 months contract)
Michelin
Magog, QC
- Full-time
Make a difference as Mechanical product simulation engineer.
Added 2 months ago
Maintenance Specialist - Reliability Engineer
Tenaris
Sault Ste. Marie, ON
As the Maintenance Specialist - Reliability Engineer in the Maintenance Engineering department, you will enhance asset availability, reliability, and cost efficiency by optimizing…

Softrip

AI Engineer

Remote, Canada

Remote

$110,000 to $150,000 CAD / year · Full-time

Apply on wellfound.com About employer

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Job details

Pay: $110,000 to $150,000 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Posting language: English
Posted: Apr 21, 2026

Original job description

Fully Remote · Occasional travel for team coworking and client visits · Reports to VP of Technology · $120,000–$165,000 base + equity About Your Role Softrip is transforming from a traditional SaaS travel technology company into an AI-first platform - not by bolting AI features onto existing software, but by rethinking what the product can do when AI is native to it. Of our existing customer base, we have beta customers ready to build with us, solid discovery work already done, and a clear direction. We need dedicated engineers with external experience doing exactly this to help us deliver - and to keep pushing the boundaries of what’s possible as our customer base grows and our AI capabilities expand. You’ll ship AI-powered features into both of our products - one serving enterprise travel companies, one serving SMB operators - and build the engineering layer underneath them. You’ll be hired alongside an AI Product Manager as a deliberate two-person AI team. The working model is iterative and close: you’re not receiving specs and building to them. You’re figuring out what to build together, in real time, and shipping it. The foundation is in place: Langfuse is running for LLM observability and LaunchDarkly is configured so prompts can be updated and pushed to production without a code deploy. You’ll build on top of that foundation and extend it as our capabilities and customer demands grow. The team is small by design. There’s no dedicated design function, no QA layer, and no DevOps handoff. You own what you build end to end, from initial integration to production reliability. If your instinct is to wait for sign-off before making a call, this won’t fit. If you’ve been the person who figures things out and ships them without a net, keep reading. The Job You ship AI features from week one. Not a proof of concept - features in the product that real beta customers interact with. You start focused, learn what the product and customers actually need from AI, and grow the complexity from there. You build context pipelines. The model isn’t the hard part - assembling the right product data at the right moment is. Getting customer and operational data assembled efficiently, within context limits, and in a format the model can reason over is real engineering work. You’ll solve it per feature and get better at it with every iteration. You build and own the eval harness. Logging is already running in Langfuse. You build the layer that makes it actionable: golden datasets of representative inputs and expected outputs, automated pipelines that run evals when prompts change, and metrics that surface quality problems before a customer does. You handle data governance for AI. What customer data can go to external LLM APIs? Where does PII live, and how do you ensure it doesn’t leave the system? These questions have real contractual and regulatory answers. The engineering implementation is yours. You build toward RAG and MCP in parallel. Both are strategic directions, not fixed sequencing. As features require retrieval over larger knowledge bases, you build the pipelines. As the product strategy calls for making Softrip’s capabilities agent-callable via Model Context Protocol, you build toward that. Which comes first depends on what the product demands - both are real possibilities within the first 6 months. You work across both products. Enterprise and SMB customers have different architectures and different tolerances for AI behavior. AI infrastructure decisions touch both, and you carry them across both products. Critical Skills • Strong backend engineering fundamentals. Python and/or TypeScript, API design, async systems, production databases. This is non-negotiable - the foundation that everything else is built on. You’ve shipped software to real users and dealt with what happens when it breaks. • LLM API integration in a real product. You’ve built with OpenAI, Anthropic, or similar APIs beyond a demo - function calling, structured outputs, streaming, cost and latency tradeoffs in a production context. • Agentic systems, beyond hello-world. You can reason through how agents manage state, invoke tools, and recover from failures. You’ve worked with LangGraph, LangChain, LlamaIndex, or equivalent in something that shipped or was meaningfully tested. • Eval-first instinct. You ask “how will I know if this works?” before you start building, not after. You’ve built evaluation infrastructure, not just shipped and hoped. • Product-minded. You care whether the feature works for the customer, not just whether it compiles. You can work directly with the AI Product Manager on what to build and why - not just how. • Small-team operating experience. You’ve shipped in a team of fewer than 5 people and owned the full path from development to production. Former founders and consistent side-project builders - people who build because they want to, not because a job required it - are strongly preferred. • Experience range: we’re hiring for capability and trajectory, not tenure. The right candidate might have 2 years of experience with meaningful AI systems shipped to real users, or 6 years of strong traditional engineering with serious, self-directed AI building on top - show us what you’ve shipped. Demonstrated independent experimentation - open source contributions, side projects, self-directed building - is legitimate signal and weighted accordingly. Bonus Skills • Hands-on RAG experience: built a working retrieval pipeline, made real decisions about chunking strategy and vector store tradeoffs • MCP server experience, or direct working knowledge of Model Context Protocol architecture • Langfuse, LangSmith, or Arize Phoenix experience beyond basic setup • Comfort debugging and improving system prompts - enough to not need help with it • Cloud deployment experience (AWS, GCP, Azure), Docker, basic CI/CD What Success Looks Like First 30 days: At least one AI feature is live with beta customers and being evaluated - not just shipped. We have extensive documentation and direct customer access to accelerate your ramp. The eval harness is running. You understand both products’ data models well enough to make sound decisions about context assembly, and you’ve identified the next engineering priorities. 6 months: Multiple AI features are live, measured, and iterated. You and the AI Product Manager have a tight working rhythm. RAG pipelines and/or MCP surfaces are in development or production depending on where the product has led. Data governance is solved and documented. The architectural decisions you’ve made are ones you can defend. 12 months: The AI layer across both products is a compounding asset - each feature building on shared infrastructure and shared learnings, not starting from zero. Softrip is meaningfully more capable as an AI platform than it was when you arrived, and the trajectory is clear.

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Jobs in Canada