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Added 20 mins ago
SD
Full Stack AI Engineer
Symbiotic Digital
ON · Downtown Toronto (Central Bay Street), Ontario
- Contract
We are seeking a Full Stack AI Engineer with demonstrated
Added 33 mins ago
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Lead DevOps Engineer
Perceptic
Engineer, BC
- Full-time
We need a Lead DevOps Engineer to own that infrastructure end to end. You'll be the single, clear owner of how Perceptic deploys, operates, secures, and scales, across our own platform and…
Added 33 mins ago
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Senior DevOps Engineer
Perceptic
Engineer, BC
- Full-time
We're hiring a Senior DevOps Engineer to build and run that infrastructure with us. You'll take real ownership from day one across our own platform and the isolated customer environments…
Added 48 mins ago
MP
Lead Data Engineer
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
Experience with source control, CI/CD pipelines, DevOps/DataOps and agile delivery methodologies, including GitLab CI/CD pipelines
Added 1 hour ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
We are seeking a Backend & AI Engineer, for Siemens Digital Industries Operations Software to help build and scale our Agentic AI platform. The role focuses on solid backend engineering,…
Added 1 hour ago
Dynamics/Powerplatform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft power platform Engineer, who is familiar with AI Builder and Co-Pilots as well as Dynamics and Power Apps. The ideal candidate will have experience…
Added 2 hours ago
ZS
DevOps Engineer with (GitHub Actions) for Fulltime Opporrtunity
Zodiac Solutions, Inc
Halifax, NS
- Full-time
Role: DevOps Engineer with (GitHub Actions) or Platform Engineer with AI
Added 2 hours ago
Site Reliability Engineer, AI Observability
Appnovation Technologies
Toronto, ON · Montreal, QC
We’re looking for a Site Reliability Engineer to keep a shared observability platform for LLM-based applications running for a global life sciences client. The platform is built on Langfuse…
Added 2 hours ago
Senior Software Engineer, Full-Stack Applications - Python
Fitch Group
Toronto, ON
DevOps & Cloud – Experience with CI/CD pipelines, GitHub Actions, Kubernetes (K8s), shell scripting (Bash) for automation, and AWS cloud platform
Added 2 hours ago
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Senior Cloud Engineer -Hybrid
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Are you passionate about building scalable, secure, and modern cloud solutions? We're looking for a Senior Cloud Engineer who can combine deep technical expertise with business insight to…
Added 7 hours ago
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Database Platform Engineer
AppDirect
Montreal, QC
- Full-time
The Data Platform team supports 80+ data stores across the organization and operates against four quality pillars: resiliency and capacity, security, operational excellence, and performance…
Added 7 hours ago
PT
Software Engineer
Purelend Technologies Inc.
Calgary, AB
- Full-time
We're hiring a Software Engineer to join our core product team and own meaningful chunks of the platform end-to-end. This isn't a role where you get handed a Jira ticket and a fully-specced…
Added 11 hours ago
M
Security Engineer II - Identity and Access Management
Marqeta
Remote, Canada
- Full-time
- Remote
We’re seeking an experienced Security Engineer II with a strong passion for Identity and Access Management (IAM) and expertise in cloud-native environments, particularly AWS. You'll build,…
Added 14 hours ago
M
Senior Software Engineer - Card Network Integration
Marqeta
Remote, Canada
- Full-time
- Remote
Marqeta is seeking a skilled Senior Software Engineer to join the Network File Integration team. In this role, you will help design and deliver scalable software solutions for batch and…
Added 16 hours ago
AM
AI Fleet Management Solutions
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD is looking for an AI solutions systems Engineer who is passionate about complex and innovative AI solutions, AI infrastructure, fleet management and automation solutions. You will be a…
Added 17 hours ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
…PwC’s Cybersecurity Consulting practice. You’ll work closely with managers and other team members to design and implement security solutions (e.g. Cloud/App Security, AI to Defend) for our…
Added 19 hours ago
SL
AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is looking for AI Engineer with at least 2 years of development experience. This role will be instrumental in driving innovation, implementing cloud capabilities, and building…
Added 19 hours ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
You are a hands-on engineer with a strong production track record who takes ownership of your components, cares about operability and correctness, and collaborates well within your team.…
Added 19 hours ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads.
Added 19 hours ago
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Senior DevOps Engineer – AI & Data Platform
Systematix
Canada
- Contract
We are Systematix and we are currently looking for a Senior DevOps Engineer – AI & Data Platform to help modernize and automate the engineering practices supporting a rapidly growing…
Added 19 hours ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
You are a hands-on engineer with a strong production track record who takes ownership of your components, cares about operability and correctness, and collaborates well within your team.…
Added 20 hours ago
A
Senior AI Platform Engineer (MLOps)
Akkodis
Toronto, ON
- Contract
Akkodis is partnering with a leading institutional investment and pension organization to engage an experienced Senior AI Platform Engineer (MLOps) to support the ongoing growth and…
Added 22 hours ago
A
AI Platform Engineer / Halifax, NS (Onsite – 4 Days) - FTE
AceStack
Halifax, NS
- Full-time
This role sits within DevOps/Platform Engineering and focuses on building the reusable platform, agents, tools, skills, and automation that development teams can leverage across the…
Added 23 hours ago
H
Senior Data Engineer
Hays
Toronto, ON
- $75 to $80 CAD / hour
- Contract
Experience with DevOps, CI/CD pipelines, and automated deployment processes.
Added 1 day ago
SL
Sr. Analytics and Automation Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Contribute to advancing technologies for Automation, Data & Analytics, DevOps, API, and Platform Integration, within Network Services’ and business partners.

Purelend Technologies Inc.

Software Engineer

Calgary, AB, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 1, 2026
Experience: 3–7 years of professional experience building production software.
Posting language: English
Posted: Jul 12, 2026

Original job description

About Purelend

Purelend is an early-stage company operating at the frontier of FinTech and AI. Our small, tight-knit founding team is reimagining banking technology, starting with mortgage loans. We're fully automating the manual checks and underwriting which historically have meant hours or days of frustrating manual work. Our customers and their clients get what they want faster: a funded mortgage.

Our platform is already used by mortgage brokers and lenders across Canada, including some of the country's most important lenders. Revenue is growing, the pipeline is full, and every line of code you write moves a real number on the business.

Our AI Stance

We're all in on AI, and not just in the product. Engineering, infrastructure, design, customer support, sales: every function here uses the best AI tooling we can find to maximize quality and throughput on a small team. We're looking for someone who wants to help us push that bet further, not someone who's skeptical of it.

The Role

We're hiring a Software Engineer to join our core product team and own meaningful chunks of the platform end-to-end. This isn't a role where you get handed a Jira ticket and a fully-specced design. You'll talk to customers, scope your own work, write the code, ship it, watch the metrics, and own what you built.

The stack is Next.js, TypeScript, Node.js, and Postgres, with AI and LLMs woven through the product wherever they earn their keep. You'll work across the stack: backend services, database schemas, AI evaluation pipelines, and the customer-facing UI brokers and lenders use every day.

What You'll Actually Do

Ship Features End-to-End

You'll take a problem like “brokers can't tell at a glance which large deposits in a bank statement need sourcing” and turn it into a shipped feature. That includes the data model, the API, the LLM prompt or extraction pipeline, the UI, the tests, and the observability. No handoffs.

Productionize AI

A lot of what we build relies on LLMs doing useful work reliably: classifying documents, extracting income from bank statements, flagging suspicious patterns, summarizing files for underwriters. You'll design the prompts, build the evals, wire up the fallbacks, and decide when a deterministic rule beats a model call. We expect rigour here. Demos are easy. Reliable AI in production is the bar.

Own the Data Layer

Postgres is the source of truth for almost everything we do. You'll design schemas you'll be happy to look at in two years, write queries that don't fall over under real load, and care about migrations enough not to break things on the way through.

Talk to Customers

You'll be on calls with brokers and lenders, often alongside the founders. Sometimes you're demoing what shipped this week. Sometimes you're digging into a bug with them on a screenshare. Sometimes you're asking three questions that turn into next quarter's roadmap. If the idea of getting on a call with a customer makes you tense up, this isn't the right place.

Raise the Bar on the Codebase

You'll review code, push back on shortcuts that aren't worth taking, and tighten the parts of the system that hurt most. We move fast, but we're building infrastructure that financial institutions depend on. We don't ship junk and hope.

What You Bring

3–7 years of professional experience building production software. You've owned features in production long enough to feel the difference between code that works on your laptop and code that survives real users.
Strong TypeScript across the stack. You can read and write Next.js, server actions, API routes, and Node.js services without reaching for the docs every five minutes. You understand the runtime, not just the syntax.
Postgres fluency. You can design a normalised schema, write a join you're not ashamed of, and read an EXPLAIN plan well enough to know when an index is the answer and when it isn't.
Hands-on AI / LLM experience. You've shipped at least one real LLM feature in production. You know what evaluation looks like (Evalite, Braintrust, custom harnesses, whatever), and you've been burned at least once by a model that drifted on you. Bonus if you've worked with the Vercel AI SDK, LangChain, structured output, or function calling in anger.
Comfort with the full lifecycle. You can deploy, monitor, and debug a service in production. You don't need a separate DevOps team to ship a feature.
Customer-facing comfort. You can sit on a call with a head of underwriting at a national lender, ask the right questions, and translate what you hear into a roadmap item.
Taste. You care what the product looks like and how it feels to use. You'll push back when a design or interaction isn't good enough, and you'll have a real opinion about how to fix it.
An AI-first mindset for your own work. You use the best AI tooling available to compound your output: coding agents, evals, internal automation, scripts that didn't exist last week. You treat AI as part of the craft, not a threat to it.

What We're Not Looking For

Engineers who need every requirement specced out before they can start.
People who think prompts are the whole job. LLM features get hard exactly when you go past the demo.
Anyone who's allergic to talking to customers or shipping something that isn't perfect yet.

Why This Role Is Interesting

You're joining at the inflection point. Product works, revenue is growing, and the institutional deals in the pipeline are the kind that change the trajectory of a company. The engineering team is small. What you ship in your first quarter will still be in production years from now, touched by every customer.

Compensation

Our total compensation, a blend of cash and equity, is market competitive.

Details

Location: Calgary, AB - in-office
Reports to: Seb Hiscock (CTO)

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More about this job

Responsibilities

Own product features end-to-end, from customer discovery and data modeling through APIs, AI pipelines, user interfaces, testing, deployment, and monitoring. Improve the reliability and quality of the platform by productionizing AI features, maintaining the PostgreSQL data layer, engaging with customers, and raising codebase standards.

Requirements

Requires 3–7 years of professional experience building production software, strong full-stack TypeScript skills with Next.js and Node.js, and fluency in PostgreSQL. Candidates must have shipped an LLM feature in production, be comfortable deploying and debugging services, and be willing to work directly with customers; an AI-first approach and strong product judgment are also expected.

Skills

TypeScript
Next.js
Node.js
PostgreSQL
LLM Integration
AI Evaluation
Prompt Engineering
Database Schema Design
API Development
Full-Stack Development
Production Monitoring
Customer Communication
Code Review
Product Design

Visa sponsorship

Not detected in the job text

Hiring contact

Seb Hiscock

Keywords

FinTech
Artificial Intelligence
Mortgage Lending
Underwriting
Next.js
TypeScript
Node.js
PostgreSQL
Large Language Models
Vercel AI SDK
LangChain
Evalite
Braintrust
Structured Output
Function Calling
Prompt Engineering
AI Evaluation
Document Classification
Data Extraction
API Routes
Server Actions
Database Migrations
Database Schema Design
Observability
Production Monitoring
Customer Discovery
Code Review
Financial Institutions
Bank Statements

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