Find work in Canada.

326,776 jobs across our Canadian network. How we count

Jobs in Canada

Save this search

Added 2 months ago
Senior Data Engineer
BrainStation
Toronto, Ontario
$120,000 to $145,000 USD / year
Full-time
Strong programming skills in SQL, Python, or related languages.
Added 2 months ago
Data Engineer
Hotspex Media
Toronto, Ontario
$85,000 to $115,000 CAD / year
Full-time
Python or other scripting language for data tasks (Java, Scala, TypeScript also acceptable)
Added 2 months ago
Senior Water Resources Engineer, Land Development
Egis in Canada
Toronto, Ontario
$105,000 to $130,000 CAD / year
Full-time
Experience with automation tools such as Dynamo or Python.
Added 2 months ago
Water Resources Engineer, Land Development
Egis in Canada
Edmonton, Alberta
$85,000 to $115,000 CAD / year
Full-time
Experience with automation, including but not limited to Dynamo and Python, is considered an asset.
Added 2 months ago
Full Stack AI Engineer
Scispot
Remote, Canada
$80,000 to $120,000 USD / year
Full-time · Remote
Build polished workflows across React and TypeScript, Java Spring Boot and Python services, APIs, queues, data stores, and AWS infrastructure.
Added 2 months ago
Embedded Software Engineer - DO 178
CS GROUP
Montreal, Quebec
Full-time
Knowledge of C language, and scripting languages like Python.
Added 2 months ago
Hardware Test Engineering Manager
Kepler Communications Inc.
Toronto, Ontario
Full-time
Added 2 months ago
R&D Engineer
Eyeline
Vancouver, British Columbia
Full-time
Added 3 months ago
Senior Software Engineer, Backend
Brex
Vancouver, British Columbia
$192,000 to $240,000 CAD / year
Full-time
Experience working with backend programming languages (Java, Kotlin, Python)
Added 2 months ago
Senior Software Engineer
Clutch
Toronto, Ontario
$160,000 to $200,000 USD / year
Full-time
Proficiency in one or more modern programming languages (TypeScript, Python, Go, Ruby, C#, Rust, etc.)
Added 2 months ago
MarTech Developer
BrainStation
Toronto, Ontario
$90,000 to $120,000 USD / year
Full-time
As a MarTech Developer, you'll be tasked with working on a variety of client-facing marketing technology initiatives. Working within cross-functional project teams, your responsibilities…
Added 2 months ago
Senior Software Engineer, Full-stack (Distribution Center)
Afresh
Ontario
$137,000 to $205,000 CAD / year
Full-time
Python, PostgreSQL, GraphQL, Databricks, DBT, Terraform/OpenTofu, Azure, pair programming, test-driven development
Added 2 months ago
Senior to Principal Geotechnical Engineer / Ingénieur(e) géotechnique – niveau sénior à principal(e)
SRK Consulting
Montreal, Quebec
Full-time
Experience with data science and coding (Python) is an asset.
Added 2 months ago
Manager, Data Engineer
Brookfield
Toronto, Ontario
Full-time
Proven expertise in ETL/ELT, data modeling, data warehousing, data Lakehouse concepts with extensive experience with SQL and Python programming.
Added 3 months ago
Senior IT Platform Administrator
Desjardins
Lévis, Quebec
Full-time
Proficiency in bash scripting, Python or similar language
Added 3 months ago
Senior IT Platform Administrator
Desjardins
Montréal-Ouest, Quebec
Full-time
Proficiency in bash scripting, Python or similar language
Added 2 months ago
Data Platform Engineer
Princeton IT Services, Inc
Toronto, Ontario
Contract
Design and develop Snowflake-native applications including Snowpark (Python), stored procedures, tasks, streams, and dynamic tables to support day-end processing engines that run natively…
Added 2 months ago
Technical Research Scientist
Simon Fraser University
Burnaby, British Columbia
Full-time
P roficiency in data acquisition, analysis, and automation (e.g., Python, MATLAB).
Added 3 months ago
Backend Developer
Moment Factory
Montreal, Quebec
Full-time
As a Back-End Developer, your main role is to guide the company in the effective management of its information flows by developing customized solutions that match its business operations.…
Added 3 months ago
Analyste de test technique principal·e I Technical Test Lead
2K Vegas
Montreal, Quebec
Full-time
Formation technique avec maîtrise d’au moins un langage de programmation ou de scriptage tel que Java, Python, C#, Bash, Lua, PowerShell, etc.
Added 3 months ago
Senior Analyst, Acquisition
Rogers Bank
Toronto, Ontario
Full-time
Data analysis skills must include 2+ years of experience using statistical programs such as SAS, Python, R, Knowledge Studio, or similar
Added 10 days ago
Software Development Manager, Tools & Products
2K
Montreal, QC
Compétences avancées en programmation en C++, C# ou Python dans de grandes bases de code à branches multiples.
Added 2 months ago
Senior Robotics and Control Engineer
Promise Robotics
Calgary, AB
Full-time
(Preferred) Programming experience in Python, SQL or similar language
Added 2 months ago
Robotics Software Developer
Promise Robotics
Calgary, AB
Full-time
We’re looking for a Robotics Software Developer to join our team and contribute to developing cutting-edge solutions for our core robotic manufacturing technologies. This is an early-career…
Added 1 month ago
Analyst, Transportation
Vantive
Mississauga, ON
Full-time
Knowledge of SQL, Python, ETL tools and expertise in analytics tools such as Tableau Desktop and Server, Power BI

Scispot

Full Stack AI Engineer

Remote, Canada

Pay: $80,000 to $120,000 USD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Jun 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

Why Scispot

Scispot began after my brother Guru and I (Satya) watched someone they loved run out of time while slow, manual lab processes delayed a promising treatment. We are building Scispot so life-saving science can move at software speed.
Biotech & Lifescience teams should not have to choose between moving fast and keeping their data clean, connected, traceable, and ready for AI.
We are building the digital backbone for scientific discovery. Scispot connects lab operations, instrument data, scientific workflows, and AI-driven insights in one platform. This becomes the memory layer for lifescience teams for their agents.
Your code will not optimize clicks for another consumer app. It will help scientists run experiments faster, trace samples accurately, automate repetitive work, and move treatments closer to patients.
This is a rare chance to build infrastructure at the intersection of software, AI, data, and biology.

What You'll Do

Own major product areas from first customer conversation to production. You will define the problem, choose the architecture, build the interface and backend, deploy it, measure its impact, and keep improving it.
Build the GLUE and API layers that reliably move data from lab instruments, external systems, and scientific files into Scispot.
Let scientists query the full journey of a sample - from batch to run to assay - using natural language, graph-backed data, and grounded retrieval.
Build AI agents that can take useful actions inside lab workflows, not merely produce text.
Improve recommendation, search, memory, and retrieval systems across OpenSearch, vector databases, graph databases, and LLM pipelines.
Turn one-off lab instrument integrations into reusable connectors, SDKs, templates, and eventually a self-serve connector ecosystem.
Build polished workflows across React and TypeScript, Java Spring Boot and Python services, APIs, queues, data stores, and AWS infrastructure.
Improve EKS infrastructure, automated tests, telemetry, incident response, and system reliability as Scispot grows.
Speak with scientists and lab operators regularly. Learn how their work actually happens. Then ship tools that remove real bottlenecks.
Turn incomplete requirements and messy scientific workflows into simple, reliable software without waiting for a perfect PRD.

First 30 days

Join customer calls and map one complete lab workflow, including the instruments, data handoffs, user decisions, and current sources of manual work.
Ship a production improvement to a live customer workflow. It could improve instrument ingestion, scientific search, sample traceability, workflow automation, or Scibot.
Audit one critical path across the interface, APIs, data layer, and infrastructure. Find the highest-risk reliability or scaling issue and fix at least one part of it.

First 60 days

Own and launch one meaningful full-stack feature or instrument integration. Handle the scope, architecture, implementation, tests, telemetry, rollout, and customer feedback.
Improve one core AI or data path, such as recommendations, retrieval, ETL, search, or sample chain of custody.
Define a clear success metric for your work. Examples include time saved, fewer manual steps, lower error rates, faster processing, stronger adoption, or better system reliability.

First 90 days

Become the clear owner of a core product area such as Scibot, GLUE and APIs, instrument integrations, scientific search, or chain of custody.
Turn lessons from several customer implementations into a reusable platform capability rather than another one-off solution.
Present a technical plan for the next two quarters. Explain the customer need, architecture, risks, trade-offs, milestones, and expected impact.
Raise the engineering bar through better tooling, tests, observability, documentation, or deployment workflows that help the full team move faster.

Why this role is different

You will work directly with the founders and influence product direction, technical architecture, hiring, and how Scispot builds.
You will be trusted with real production ownership early. There is no long waiting period before your work matters.
You will hear directly from scientists when something you built saves them time - or fails to solve their problem.
You will work across product engineering, AI, data systems, infrastructure, and customer discovery instead of being confined to one narrow layer.
You will have room to challenge the roadmap. Strong reasoning and customer evidence matter more than title or seniority.
You will help shape the engineering culture of a small team while remaining deeply hands-on.
You will build systems that can become core infrastructure for the next generation of biotech companies.

You might thrive here if

You have taken a product, major feature, internal tool, or open-source project from zero to one.
You can turn a vague goal into a concrete plan without waiting for someone else to break the work into tickets.
You have strong product judgment. You know when to ship a simple version and when reliability, security, or data integrity requires deeper work.
You are comfortable moving between a React interface, backend services, APIs, databases, queues, cloud infrastructure, and AI systems.
You enjoy speaking with users and believe customer discovery is part of engineering.
You take responsibility for outcomes, including bugs, failed assumptions, production issues, and adoption after launch.
You have founder, early-stage startup, side-project, or open-source experience that shows initiative and resourcefulness.
You learn new tools quickly. We care more about strong fundamentals and evidence of ownership than exact keyword matches.
Experience with AWS services (ECS, Lambda, RDS, S3, CloudWatch, etc.).
Experience with Next.js.
Experience with Spring Boot and/or FastAPI.
Exposure to Generative AI, LLMs, RAG systems, AI agents, or AI-powered products.
Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.
Familiarity with compliance, governance, security, risk, or regulated industries.
Experience working in an early-stage startup environment.

This role is probably not for you:

You want every requirement fully specified before you begin.
You prefer to own only the frontend, only the backend, or only the architecture.
You measure success by tickets completed rather than customer or business outcomes.
You optimize for perfect abstractions before learning whether users need the feature.
You want to move into management and step away from hands-on building.
You avoid customer conversations, production incidents, or decisions made with incomplete information.
You need several layers of approval before shipping a sensible change.
You want a predictable maintenance role with a fixed and narrow scope.

What we will ask you about

Show us one product or system you personally took from idea to production.
Tell us what was unclear at the beginning, what decisions you made, what you shipped, and what changed for users.
Share a live product, repository, demo, architecture note, or short walkthrough when possible.
Evidence of initiative and ownership matters more to us than employer prestige, degrees, or polished interview language.

Join Scispot if you want to build like a founder, remain close to users, and apply software and AI to problems that matter beyond software. You will have high autonomy, direct feedback, hard technical problems, and a visible link between what you ship and how quickly scientists can do their work.

Apply About employer

More about this job

Responsibilities

Own major product areas from first customer conversation to production, defining problems, choosing architecture, and building interfaces and backends. Regularly engage with scientists to understand their workflows and ship tools that address real bottlenecks.

Requirements

Candidates should have experience taking a product from idea to production and possess strong product judgment. Familiarity with AWS services, Next.js, Spring Boot, and exposure to AI technologies is preferred.

Skills

Full Stack Development
AI
Data Systems
React
TypeScript
Java Spring Boot
Python
APIs
AWS
Docker
Kubernetes
CI/CD
Generative AI
LLMs
RAG Systems
Infrastructure Automation

Visa sponsorship

Not detected in the job text

Keywords

Full Stack Development
AI
Data Systems
React
TypeScript
Java Spring Boot
Python
APIs
AWS
Docker
Kubernetes
CI/CD
Generative AI
LLMs
RAG Systems
Infrastructure Automation
Biotech
Lifescience
Scientific Workflows
Telemetry
Incident Response
System Reliability
Customer Discovery
Software Engineering
Product Development
OpenSearch
Vector Databases
Graph Databases
SDKs
Templates

Report this job