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Added 4 mins ago
Mold Maker
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Woodstock, ON
$42.9 to $45.9 CAD / hour
§ Support process engineer and technicians in trouble shooting
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Senior Environmental Risk Assessor
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Full-time
Registered Professional Engineer (P.Eng.) in Ontario is considered a strong asset
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Senior Java Back-End Engineer, TD Securities
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Java Developer, TD Securities
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Telecommunications Solutions Engineer
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Full-time
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Added 19 mins ago
Software Engineer (.NET / C# and AI/IoT)
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Senior Project Engineering Specialist
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Structural Engineering Trainee, Structures & Process Equipment
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The Structural Engineer will be part of the Structures & Process Equipment team within the Technologies Business Practice. The role is primarily focused on technical project execution, as…
Added 20 mins ago
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Axalta has remained at the forefront of the coatings industry by continually investing in innovative solutions. We engineer technologies that protect customers’ products – whether they are…
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Senior Project Engineering Specialist
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Senior Director Operations - Major Projects, Tunnel & Underground
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Vancouver, BC
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Added 20 mins ago
Senior Engineer - ServiceNow Development
The TJX Companies, Inc.
Mississauga, ON · CAN Home Office Mississauga ON
$87,780 to $122,892 CAD / year
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We’re looking for a Senior Engineer - ServiceNow Development to play a key role in designing and delivering innovative ServiceNow solutions that enhance service management processes and…
Added 35 mins ago
Ingénieur en amélioration continue / Continuous Improvement Engineer
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Software Development Engineer II, Scaling Planner, CloudTune
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Added 48 mins ago
Sustainable Transportation Engineering Coordinator
The University of British Columbia
Vancouver, BC
$6,631.67 to $9,533.25 CAD / month
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Added 48 mins ago
Project Engineer Co-Op
USG
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IBM FTM Engineer
Apptoza Inc.
Toronto, ON
Contract
Added 48 mins ago
Machine Learning Engineer
Insight Global
Toronto, ON
$70 to $85 CAD / hour
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Added 48 mins ago
AI Deployment & Solutions Engineer
Tata Consultancy Services
Toronto, ON
Full-time
The Forward Deployment Engineer (FDE) Technical Lead is a hands-on engineering leader responsible for solving complex problems by combining software engineering, AI/GenAI, data, cloud,…

Closed listing

Perceptic

Senior AI Engineer

Engineer, BC, Canada

Job type: Full-time
Closing date: Oct 27, 2026
Experience: At least 4+ years of professional engineering experience, with broad full-stack range
Posting language: English
Posted: Sep 27, 2026

This opening has closed.

The original listing is kept below for reference.

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Original job description

Archived listing. The details below describe a past opening.

The highest calling for AI is improving human health. At Perceptic, we're building the AI operating system that powers drug discovery - a unified intelligence layer that connects evidence, reasoning, and action across the entire drug lifecycle.

We were built by operators from Palantir who spent years deploying production AI in the world's most demanding enterprise environments. We know what it takes to make ambitious technology hold up under real pressure. Now we're applying that to pharma and we're hiring engineers who've operated at the same standard.

We are hiring Senior AI Engineers who have shipped real AI product experiences. We mean people who have built AI products, broken them in production, fixed them, and shipped them to users who depend on the result. Curiosity about AI isn't enough.

The hard problem here is getting AI to reason over the world's scientific evidence well enough that a pharma scientist will stake a major decision on the result. That takes agents doing substantive work, surfaced through interfaces that make their reasoning easy to follow and check.

Our stack is React and TypeScript on the front end, Java and Python services behind it, and an agent layer built on durable, fault-tolerant workflows that reason over scientific data through a growing set of tools and integrations. We keep the technology choices few and high-leverage, and you'll work across all of them.

What You'll Own

End-to-end product features across the frontend, backend, data, and API layers, owned through to production
AI-powered scientific workflows: agentic systems, retrieval, tool use, and the evaluation loops that keep them honest
The integration work that turns model providers and AI tooling into product experiences people can depend on
Evaluation and feedback systems that make AI behavior measurable and improvable over time
Trust surfaces such as provenance, citations, and confidence, rendered so a scientist can check the work behind any answer
Close work with founders, customers, and domain experts, turning ambiguity into shipped product
Engineering velocity through automation, AI-assisted development, and internal tooling that lets a small team do the work of a much larger one

What We're Looking For

At least 4+ years of professional engineering experience, with broad full-stack range
You've shipped AI features that people rely on, and you can point to them
You can talk concretely about harnesses, evals, failure modes, latency, cost, and the UX tradeoffs of building with language models
You use AI coding tools fluently and have strong, earned opinions about where they help and where they fall down
You've come from somewhere that held a high bar, such as FAANG, a top AI lab, or a respected product-engineering environment
You want more ownership, speed, and upside than those environments tend to offer
You have strong product taste and can make pragmatic calls without waiting for perfect requirements

This is a high-intensity, high-stakes role. We move quickly and give direct feedback, the responsibility you carry will likely outrun your title, and you'll go wherever the company needs you most, which sometimes means unglamorous work that matters more than anything else that week. The people who do well here find that kind of ownership and growth exciting, and they weren't looking for a nine-to-five.

About employer

More about this job

Responsibilities

Build and ship end-to-end AI-powered scientific product features across frontend, backend, data, and API layers, including agentic workflows, retrieval, tool integrations, and evaluation systems. Develop trustworthy interfaces that expose provenance, citations, and confidence, while working with founders, customers, and domain experts to turn ambiguous needs into production products.

Requirements

Candidates need at least four years of professional engineering experience, broad full-stack capability, and a track record of shipping AI features that users rely on. They should be able to discuss evaluation methods, failure modes, latency, cost, and UX tradeoffs, use AI coding tools fluently, and demonstrate strong product judgment in a high-ownership environment.

Skills

Full-Stack Engineering
Artificial Intelligence
React
TypeScript
Java
Python
Agentic Systems
Retrieval
Tool Integration
AI Evaluation
Scientific Data
API Development
Frontend Development
Backend Development
Workflow Automation
Product Development

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Drug Discovery
Pharmaceuticals
React
TypeScript
Java
Python
AI Agents
Agentic Systems
Retrieval
Scientific Evidence
Scientific Data
Durable Workflows
Fault-Tolerant Workflows
Model Providers
AI Tooling
Evaluation Harnesses
AI Evaluation
Feedback Systems
Provenance
Citations
Confidence
Full-Stack Engineering
API Development
Frontend Development
Backend Development
Automation
AI-Assisted Development
Internal Tooling
Production AI

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