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Added 9 mins ago
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Business Development Manager
Mirego
Toronto, ON
- Full-time
Added 9 mins ago
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Développeur(euse) IA
Mirego
Montreal, QC · Quebec, QC
- Full-time
As someone dedicated to AI development, you contribute every day to building innovative artificial intelligence solutions with the ambition of concretely transforming the way our clients do…
Added 9 mins ago
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Account Manager, XM
Acosta
Toronto, ON
- Full-time
We use artificial intelligence (AI) tools to help screen and/or assess applications for this role. These tools analyze information you provide (for example, your résumé or answers to…
Added 9 mins ago
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Cybersecurity Architect
Manulife
Toronto, ON
- Full-time
Assess relevant vulnerabilities, security alerts, and threat intelligence and translate emerging threats into architecture guidance and appropriate risk-mitigation strategies.
Added 9 mins ago
SC
Wireless Sales Consultant
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Edmonton, AB
- 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 24 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 24 mins ago
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Product Specialist - Risk Management and Portfolio Solutions
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Montréal-Ouest, QC
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Senior Project Geologist (Geometallurgy)
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- Full-time
Company Description ALS Geoanalytics combines geoscience expertise with artificial intelligence and data science to address complex challenges in mineral exploration and mining. The team is…
Added 40 mins ago
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Senior Associate, Nexus, Client Delivery
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Halifax, NS
- Full-time
We are committed to using Artificial Intelligence (AI) tools responsibly and being transparent about what we do to build trust and confidence. At MUFG Investor Services, we use AI tools to…
Added 40 mins ago
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Director of Rooms Division (Full-Time)
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- Full-time
Leverage business intelligence, operational analytics, and forecasting tools to support data-driven decision making.
Added 54 mins ago
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Temporary Fashion Associate - Reitmans
RCL - Reitmans Canada Ltd/Ltée
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- Part-time
The use of Artificial Intelligence may be used for candidate screening purposes.
Added 54 mins ago
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In Store Bakery - Manager Bakery
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- Full-time
We may use Artificial Intelligence (AI) tools to support efficiencies in the candidate screening, assessment, and recruitment processes. These AI tools do not make hiring decisions on…
Added 54 mins ago
Deli - Clerk Sales/Service - Tier II SW
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Swift Current, SK
We may use Artificial Intelligence (AI) tools to support efficiencies in the candidate screening, assessment, and recruitment processes. These AI tools do not make hiring decisions on…
Added 54 mins ago
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Duty Supervisors - Paramedic Services (Permanent, Part-time)
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- $96,000 to $141,000 CAD / year
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Senior Chemical Process Engineer
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Richmond, BC
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Richmond, BC
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Saltworks is investing intentionally in artificial intelligence for engineering and technical work. Engineering offers one of the longest runways for AI-driven productivity and automation,…
Added 1 hour ago
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Pilot Plant Engineer
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Added 1 hour ago
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Reset Merchandiser
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Toronto, ON
- Part-time
We use artificial intelligence (AI) tools to help screen and/or assess applications for this role. These tools analyze information you provide (for example, your résumé or answers to…
Added 1 hour ago
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Human Factors Engineer
Actalent
Vancouver, BC
- $50 to $65 CAD / hour
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Agent Méthodes
Actalent
Pointe-Claire, QC
- $30 to $57 CAD / hour
- Contract
Added 1 hour ago
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Chargé De Projets Automatisations
Actalent
Boisbriand, QC
- $40 to $60 CAD / hour
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Added 1 hour ago
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Ingenieur Systemes V&V
Actalent
Sainte-Anne-de-Bellevue, QC
- $50 to $80 CAD / hour
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Added 1 hour ago
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Future ABR - Alcohol Sampling Brand Ambassador
Mosaic North America
Toronto, ON
- Internship
We use artificial intelligence (AI) tools to help screen and/or assess applications for this role. These tools analyze information you provide (for example, your résumé or answers to…

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. · Full-time

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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.
Job type: Full-time
Apply by: Nov 29, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

Who We Are

Leo Berwick is an innovative mergers and acquisitions consulting firm. We are comprised of experienced advisors from global law and accounting firms that add value to transactions as trusted partners throughout the deal life cycle. At Leo Berwick, we hire the best and the brightest. Our teams deliver a dedicated and customized service to every client.

As a growth-stage company, we move quickly, work collaboratively, and value people who take initiative and thrive in a fast-paced environment. Our culture is grounded in high performance, continuous learning, and the shared ambition to build something exceptional, together.

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

Build and ship secure, observable agentic AI products and workflows for M&A advisory, integrating LLMs, tools, retrieval, orchestration, and enterprise data. Help define the platform architecture and engineering standards while collaborating with subject matter experts, internal users, and other engineers.

Requirements

Requires 7–15 years of software engineering experience, a strong academic foundation in computer science, engineering, or mathematics, and a record of delivering enterprise SaaS or B2B products. Candidates should have hands-on experience shipping an agentic or LLM-powered product within the past 24 months, depth in agent orchestration and architecture, and proficiency in React, TypeScript, and Java.

Skills

Agentic AI Systems
LLM Orchestration
React
TypeScript
Java
Python
Full-Stack Development
Enterprise SaaS
Retrieval-Augmented Generation
Tool Calling
Model Context Protocol
Data Modeling
Domain-Driven Design
System Architecture
Workflow Automation
Security and Governance

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Large Language Models
AI Harness
Agent Orchestration
Fireworks AI
React
TypeScript
Java
Python
Enterprise SaaS
B2B Products
Tool Calling
Retrieval
Model Context Protocol
M&A
Document Extraction
Document Triage
Redlining
Automated Workflows
Domain-Driven Design
Monolithic Architecture
Enterprise Service Bus
Data Modeling
Automated Reporting
Memo Generation
Security
Governance
Observability
Code Reviews
Testing

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