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Added 2 mins ago
SI
Wireless Sales Consultant
Staples Inc.
Burnaby, BC
- Part-time
We value transparency in our hiring processes. Please note, artificial intelligence may be used in certain stages to screen, assess, or select applicants, however, a human reviewer makes…
Added 2 mins ago
AM
Security Firmware Architect
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
Added 2 mins ago
SR
Retail Operations Supervisor
Staples Retail
Terrace, BC
- Full-time
We value transparency in our hiring processes. Please note, artificial intelligence may be used in certain stages to screen, assess, or select applicants, however, a human reviewer makes…
Added 16 mins ago
WS
Senior Finance Analyst, Operations Finance & Analytics
Wolf Steel Ltd
Barrie, ON
- Full-time
…preferred), working knowledge of Power BI or other business intelligence tools is an…
Added 16 mins ago
HT
VP, Accounting & Controllership (Husky)
Husky Technologies
Bolton, ON
- Full-time
…people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to…
Added 16 mins ago
K&
Product Data Coordinator
Kohl & Frisch Limited
Toronto, ON
- Full-time
As part of our recruitment process, we may use artificial intelligence (AI) tools to assist with initial screening and the evaluation of candidate qualifications. All final hiring decisions…
Added 16 mins ago
EF
Wealth Planning Specialist (Langley & Surrey)
Envision Financial
Langley (District), BC · Langley, BC
- Full-time
Added 16 mins ago
N
Advisor, Procurement Operations
Nutrien
Calgary, AB
- Full-time
Added 16 mins ago
N
Advisor, Procurement Operations
Nutrien
Saskatoon, SK
- Full-time
Added 16 mins ago
K
Journeyperson Heavy Duty Mechanic, NSG
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Edmonton, AB
- Full-time
…vital role that is ready to be stepped into without delay. Artificial Intelligence (AI) may be used to assist with interview scheduling and other administrative tasks during the hiring…
Added 17 mins ago
Wealth Planning Specialist (Langley & Surrey)
First West
Duncan, BC
Added 17 mins ago
QP
Senior Manager, Portfolio Reporting – Real Estate Debt
QuadReal Property Group
Vancouver, BC
- Full-time
Added 17 mins ago
C
Client Engagement Associate
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Gibsons, BC
- Full-time
We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the…
Added 17 mins ago
OG
Maintenance Technician
Onni Group of Companies
Vancouver, BC
- Full-time
Added 17 mins ago
OG
Senior Creative Producer
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Vancouver, BC
- Full-time
Added 17 mins ago
OG
Intermediate Software Engineer - Onni Capital
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Vancouver, BC
- Full-time
Added 17 mins ago
Filed Engineer
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Calgary, AB
Added 17 mins ago
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Calgary, AB
Added 17 mins ago
Manager, Scheduling
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Added 31 mins ago
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Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Agentic AI Architect or Sr. Architect - Intelligence Engineering (For Vacant Role)
Added 31 mins ago
SA
Accommodations Clerk – Patient Registration – Part Time
Sault Area Hospital
Sault Ste. Marie, ON
- Part-time
Sault Area Hospital does not use artificial intelligence (AI) to screen, assess or select applicants for a position.
Added 32 mins ago
Senior Craft Recruiter
PCL Construction
Edmonton, AB
Added 32 mins ago
BR
Social Media Manager (Founder Content)
Brodie Rec League
Remote, Canada
- $90,000 to $140,000 CAD / year
- Full-time
- Remote
Added 32 mins ago
BR
League Manager (Greater Toronto Area)
Brodie Rec League
Brampton, ON · Mississauga, ON · Oakville, ON · Toronto, ON · Vaughan, ON
- $50,000 to $80,000 CAD / year
- Full-time
Added 32 mins ago
CH
Scheduling Coordinator – Edmonton (Full-Time)
CBI Home Health
Edmonton, AB
- Full-time

Leo Berwick

Senior Software Engineer, Agentic AI Products

Toronto, ON, Canada

This is a permanent full-time role with a base salary range of $160,000 –$180,000 CAD.

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Job details

Pay: This is a permanent full-time role with a base salary range of $160,000 –$180,000 CAD.
Posting language: English
Posted: Oct 28, 2026

Original job description

What we're looking for

We are building a suite of AI-native tools that will change how Leo Berwick delivers advisory work and how our clients engage with us.

We are hiring a Toronto-based Senior Software Engineer to join our founding in-house engineering team and build products from the ground up. This is a hands-on, individual contributor role for someone who writes code, solves hard problems, and gets things done.

You won't just be building wrappers around LLMs. You'll architect the 'harness' - the orchestration middleware that manages agentic workflows, handles complex context packing, and integrates frontier models with enterprise data to automate high-stakes M&A workflows.

You get the pace and ownership of an early-stage product team, backed by the domain expertise, client relationships, and built-in distribution of an established firm, with direct access to firm leadership. Our product is already proven with internal users, so you spend your time building and shipping, not searching for product-market fit.

This is a hybrid role, with a minimum of two days per week in our Toronto office location.

You’re the right fit for this role if you –

Want to build a new product from the ground up and own what ships
Thrive on ambiguity and bring a bias toward action: you figure out how to get things done
Want to shape the architecture, technology choices, and engineering culture from day one
Enjoy working directly with non-technical subject matter experts and turning their knowledge into product
Want your work in the hands of real users quickly, with the potential to see internal tools evolve into client-facing, commercial SaaS products

What you'll do

Design and build agentic products

Design and build agentic features and workflows, such as document and data extraction, multi-step engagement workflows, and governance controls, from prototype to production, moving toward 'automated associates' that handle complex tasks like document triage, automated agentic pipelines, and project management.
Integrate LLMs, tool-calling, retrieval, and orchestration patterns into reliable, secure, and observable systems.
Design and implement robust data/domain models that support automated reporting and memo generation via Model Context Protocol (MCP) and other structured data exposure layers.
Write high-quality, production-grade code across the stack.

Shape the platform

Help define the architecture and technology stack for a new, modern platform, and build it from the ground up.
Contribute to engineering standards, code reviews, testing, scalability, manageability, and security and governance practices for AI-enabled systems.

Collaborate as part of a growing team

Work alongside senior technology advisors and subject matter expert builders embedded full-time in the product, iterating quickly on feedback from internal users.
Work in small, focused pods with in-house and external engineers, sharing knowledge so team capability compounds over time.
Take part in technical evaluations, including case-study style discussions, and help hire other engineers as the team grows.

What you bring

You are a senior engineer with 7–15 years of professional software engineering experience, a strong academic foundation in computer science, engineering, or mathematics, and a proven record of driving technical delivery in complex, high-stakes environments.

A track record of shipping. You've built enterprise SaaS or B2B products, and in the last 24 months you shipped an Agentic or LLM-powered product you contributed to hands-on. You can point to the impact, whether GitHub repositories or documented SDLC improvements. Startup or founding-team experience is an asset.
Agentic systems depth. You've built or worked within an AI "harness", the middleware that orchestrates agents (Fireworks AI or similar orchestration layers). You understand the full LLM lifecycle, well beyond basic prompting.
Sound architectural judgment. You can articulate the trade-offs between domain-driven design and monolithic architectures, and you know orchestration patterns such as enterprise service buses. You favour a "buy-first" strategy and put engineering effort into proprietary IP rather than solved problems like document extraction.
Full-stack proficiency. You are strong in React, TypeScript, and Java, and comfortable picking up other languages, such as Python, as the work demands.
Business-to-workflow translation. You can turn complex business processes, such as document triage, redlining, and spreadsheet organization, into automated agentic workflows.

Compensation

This is a permanent full-time role with a base salary range of $160,000 –$180,000 CAD. Placement within the range will depend on relevant experience and scope of responsibility.
Vacancy Statement

This posting reflects a new vacancy.

Use of Artificial Intelligence in Hiring

Leo Berwick uses artificial intelligence tools to screen applicants for this role.

Equal Opportunity Statement

Leo Berwick is an equal opportunity employer committed to building a diverse, inclusive and accessible workplace. We welcome applications from all qualified individuals and do not discriminate on any ground protected under applicable human rights legislation. Accommodations are available upon request at any stage of the hiring process, in accordance with applicable accessibility and human rights legislation.

Please contact careers@leoberwick.com to request an accommodation. Information received relating to accommodation will be kept confidential and used only to support your participation in the hiring process.

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More about this job

Responsibilities

Design and build agentic AI products and workflows, including document extraction and automated pipelines, from prototype to production. Collaborate with subject matter experts to architect scalable, secure, and observable systems that integrate frontier models with enterprise data.

Requirements

Requires 7–15 years of professional software engineering experience with a strong background in computer science or mathematics. Candidates must have a proven track record of shipping enterprise SaaS or LLM-powered products and possess full-stack proficiency in React, TypeScript, and Java.

Skills

Agentic AI
LLM
Orchestration
React
TypeScript
Java
Python
Software Architecture
Enterprise SaaS
Data Modeling
Model Context Protocol
System Design
API Integration
Cloud Infrastructure
Technical Leadership
Agile

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
LLM
Orchestration
Middleware
React
TypeScript
Java
Python
SaaS
B2B
Model Context Protocol
MCP
Enterprise Data
Software Engineering
System Architecture
Automation
Data Extraction
Workflow Automation
Governance
Scalability
Security
Full-stack
Product Development
M&A
Advisory
Computer Science
Engineering
Mathematics
SDLC
Fireworks AI

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