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Added 2 months ago
NP
Enterprise AI Engineer
Northland Power Inc.
Toronto, ON
- Full-time
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field; advanced degree or AI certifications are an asset.
Added 2 months ago
Backend Software Product Developer, Ops Planning
HelloFresh
Toronto, ON
Experience: Experience in software engineering, with a strong focus on back-end development and system architecture.
Added 2 months ago
D
Senior Software Engineer (Infrastructure)
d1g1t
Toronto, ON
- Full-time
technical expertise to the table, influencing both the engineering direction and product
Added 2 months ago
NP
Data Engineer/Architect
Northland Power Inc.
Toronto, ON
- Full-time
Advanced SQL and Python skills for data engineering, automation, and performance optimization.
Added 2 months ago
C
Senior Data Engineer
CarePartners
London, ON · Waterloo, ON
- Full-time
Ensure data architecture supports future growth, advanced analytics, automation, and AI initiatives. DATA INTEGRATION, ENGINEERING AND MODELING
Added 3 months ago
T(
Principal AI/ML Engineer
Tilt (f.k.a. Delphia)
Remote, Canada
- $240,000 to $320,000 CAD / year
- Full-time
- Remote
…Investments (and more), working with major brokerages and financial data…
Added 3 months ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to…
Added 3 months ago
B
AI Tech Lead
BoomerangFX
Mississauga, ON
- $80,000 to $90,000 CAD / year
- Full-time
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Information Technology, or a related technical field.
Added 3 months ago
A
AI and Automation Software Engineer
AMD
Markham, ON
- $187,200 to $280,800 CAD / year
- Full-time
Identify and prioritize opportunities where AI, automation, scripting, data processing, or workflow integration can materially improve engineering productivity and team efficiency.
Added 3 months ago
D
Staff Software Engineer
Dialpad
Vancouver, BC
- Full-time
…reusable services. Your impactful work helps improve Dialpad’s developer experience, productivity, security, and…
Added 4 months ago
A
Intermediate Full Stack Software Engineer
AltaML
Edmonton, AB
- $90,000 to $110,000 CAD / year
- Full-time
Use Claude Code and AI-assisted development tools (Cursor, GitHub Copilot, and similar) as a standard part of the engineering workflow - for prototyping, code generation, refactoring,…
Added 3 months ago
KS
Senior Lighting Artist | Artiste senior en éclairage - GameSim - Talent Pipeline
Keywords Studios
Canada
- Full-time
Build effective working relationships with Art Direction, Production, Technical Art, Environment Art, Design, Engineering, clients, and partner teams
Added 3 months ago
F
Senior Director, Pricing
Financeit
Toronto, ON
- $175,000 to $195,000 CAD / year
- Full-time
Construct and maintain robust pricing models reflecting current data trends to help operationalize the pricing strategy and guide day-to-day tactical decisions
Added 3 months ago
E
Staff API Engineer
Equinix
Toronto, ON
- Full-time
…MCP), SDK and documentation generation workflows, and docs/developer platform engineering (e.g., Docusaurus, Backstage, Confluence) including plugins, upgrades, light theming, and CI/CD.…
Added 3 months ago
A
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
- Full-time
Join our Platform Engineering team at AutoScout24 Group / Trader Corporation. We build the internal platform that 600+ developers rely on to ship software quickly and safely: centralized…
Added 3 months ago
B
Director, Internal Audit Analytics & Artificial Intelligence
Brookfield
Toronto, ON
- Full-time
Provide technical direction for Power BI, Alteryx, SQL, Python and LLM tools (Microsoft Copilot, ChatGPT, Claude), including prompt engineering, automation and agents.
Added 3 months ago
GD
Data Scientist I
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
- Full-time
You are an experienced cloud developer with a passion for data science and data modeling.
Added 1 month ago
GS
Senior Systems Administrator
GlassHouse Systems
Toronto, ON
- Full-time
· Support data centre and server room operations, including hardware deployments, equipment lifecycle management, and infrastructure support activities.
Added 2 months ago
M
Senior Manager, Advanced Analytics
MNP
Edmonton, AB · AB · NS
- Full-time
Possessing a certification(s) in one of the following is a big plus - AWS/Azure/GCP data engineering
Added 2 months ago
C
Database developer Smartstream TLM SME Senior Programmer Assistant Vice President
Citi
Mississauga, ON
- Full-time
Oversee the full reconciliation lifecycle: data ingestion, validation, matching, exceptions, break investigation, ageing, workflow, reporting, and controls.
Added 2 months ago
PA
AI Infrastructure Engineer
Palona AI
Toronto, ON
- Full-time
Our current environment includes Python services, Docker, AWS and selected Azure services, ECS and Lambda workloads, API Gateway, load balancers, relational data systems,…
Added 2 months ago
PA
AI Modeling Engineer
Palona AI
Toronto, ON
- Full-time
…newest model. It requires disciplined evaluation, high-quality data, modeling judgment, experimentation, and production feedback…
Added 2 months ago
PA
AI Software Engineer, Product
Palona AI
Toronto, ON
- Full-time
Depth in either Python/backend engineering or TypeScript/React frontend engineering, plus the ability and desire to work effectively across the full stack.
Added 2 months ago
P
Software Developer - Talent Community
Portfolio+
Stouffville, ON · Canada - Stouffville, ON
- Full-time
As a Software Developer with Portfolio+, you will play a key role in shaping and enhancing our financial software solutions, empowering customers to achieve their goals. Leveraging your…
Added 2 months ago
Solutions Architect, AI Systems
Viral Nation Inc.
Canada
Collaborate with Data Engineering and AI teams to keep infrastructure aligned and data quality high as you build.

Tilt (f.k.a. Delphia)

Principal AI/ML Engineer

Remote, Canada

Remote

$240,000 to $320,000 CAD / year · Full-time

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Job details

Pay: $240,000 to $320,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Jul 27, 2026

Original job description

About Agora Intelligence (d.b.a. Tilt)

Agora Intelligence is building the audited methodology layer agents call before touching portfolios. Our product, Tilt, is GitHub for rules-based investment methodologies: an open platform and marketplace where investment strategies are created, tested, audited, and distributed - by humans and AI agents alike. As AI agents begin managing real portfolios, they need a trusted source of verified investment logic before they can act. Tilt is that source.

We operate across two connected surfaces: InvestOS, an open standard that lets any brokerage or platform plug verified methodology into its own AI experience; and Tilt, the reference implementation of InvestOS. Tilt is an agentic harness where investors, portfolio managers, and creators can author, remix, and publish strategies. We're a small, senior team (from BlackRock, Bloomberg, BGI, and Quant Funds) backed by Portage Ventures, Lerer Hippeau, Cumberland Investments (and more), working with major brokerages and financial data providers.

What We're Building

InvestOS - an open standard for rules-based methodologies and its reference implementation.

We believe any idea - a theme, a trend, a thesis - can be turned into an investable view. On Tilt, anyone can express a view as a rules-based basket of assets in seconds, backed by evidence and scored against what actually happens. Whether you're modeling a thematic strategy, tracking an emerging technology, or capturing the public-market footprint of a private company, what used to take an index committee months now takes an API call - 100× faster, at a fraction of the cost. We also transform views found on the open web, into rules-based strategies. This lets us measure the performance of any opinion or prediction about the future. The unit is a tilt: a creator-authored view of the world.

The bigger bet: as AI agents take on more of investing, they'll need an open, trusted standard for how investment views are expressed, verified, and combined. When anyone can generate a strategy in seconds, the strategies aren't the asset. The system that versions, tests, and grades them is. We're building that standard - and the platform where those views are made. We’re also building the learning loops for when views resolve against reality, as measured by markets.

Who We Are

We're a team of ~25 senior-to-principal engineers, designers and AI/ML researchers. More than half the team are former founders. We move fast, challenge assumptions, and believe AI should fundamentally change how financial products are built. We have no management hierarchy and work remotely with 4 one-week hackathons per year. “Full stack” to us means you own a slice of the product, including its roadmap and go-to-market.

The Opportunity

Creating an investable index from a conversation with AI isn't a traditional machine learning problem. Users aren't simply prompting a chatbot - they're collaborating with an intelligent system that must reason over financial information, construct investment methodologies, evaluate evidence, and continuously improve as new information emerges.

We're looking for a Principal AI/ML Engineer who thrives in ambiguity, enjoys solving complex research and engineering problems, and wants to define what AI-native investing feels like.

You'll work directly with the founders, product engineers, and designers to shape both the intelligence behind the product and the company itself. This isn't a role where you'll be handed research problems. You'll help identify opportunities, influence our AI strategy, and set the standard for machine learning across Tilt.

What You'll Do

Design and build the AI systems that power methodology generation, financial reasoning, retrieval, ranking, and evaluation.
Develop agentic workflows that combine language models, structured financial data, and external tools into reliable production systems.
Improve the quality, consistency, and trustworthiness of our AI through evaluation frameworks, benchmarking, and continuous experimentation.
Partner closely with product engineers and designers to turn cutting-edge AI capabilities into intuitive product experiences.
Stay at the frontier of modern AI, rapidly evaluating new models, techniques, and tooling as the ecosystem evolves.
Make thoughtful tradeoffs between research ambition, production reliability, latency, and cost.
Raise the AI bar across the company by contributing to architecture, experimentation, and technical leadership.
Continuously improve how we build by leveraging AI throughout research, experimentation, coding, and evaluation.

Who You Are

You've spent years building production AI systems, not just training models, and understand the difference.
You naturally think about product outcomes alongside model performance.
You have strong machine learning and software engineering fundamentals and are comfortable taking ideas from research through deployment.
You're able to decompose difficult research problems into practical, scalable systems.
You know when to pursue state-of-the-art techniques and when simpler solutions deliver better outcomes.
You communicate technical ideas clearly and enjoy working closely with engineers, designers, and founders.
You're comfortable taking ownership without waiting for direction and enjoy exploring entirely new problem spaces.
You believe AI should fundamentally change how financial products are built and actively experiment with the latest models and tooling.

What Sets You Apart

Experience building production systems with large language models, agents, or retrieval-augmented generation.
Experience designing evaluation frameworks for AI quality, reliability, and reasoning.
Strong software engineering skills alongside deep machine learning expertise.
Experience working with financial, scientific, or other information-dense domains.
Experience at an early-stage startup where you've owned significant technical or research decisions.
You're energized by difficult AI problems and continuously explore new models, research, and infrastructure.

What We Offer

Competitive base salary and meaningful equity package
Direct partnership with the founders and a team where more than half are former founders.
Comprehensive health and dental benefits.
A remote-first, flexible work environment.
The opportunity to help define a company creating a new category in capital markets.

How to Apply

Apply through Bookface and include:

A link to your GitHub, publications, portfolio, or examples of your work.
A short note about an AI system you've built that you're most proud of, including the problem you solved and your role in the outcome.
A few sentences on why you're interested in Tilt.

Apply About employer

More about this job

Responsibilities

Design and build AI systems for methodology generation, financial reasoning, and retrieval while developing agentic workflows. Partner with product engineers and designers to turn AI capabilities into intuitive, reliable production experiences.

Requirements

Requires extensive experience building production AI systems, specifically with LLMs, agents, or RAG. Candidates must possess strong software engineering fundamentals and the ability to decompose complex research problems into scalable systems.

Skills

Artificial intelligence
Machine learning
Large language models
Agentic workflows
Retrieval-augmented generation
Financial reasoning
Software engineering
Evaluation frameworks
System architecture
Data analysis
Python
Research
Product development
Technical leadership
Benchmarking

Benefits

Competitive base salary
Meaningful equity package
Comprehensive health benefits
Dental benefits

Remote locations

United States

Remote locations (standardized)

United States

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Large Language Models
Agents
Retrieval-Augmented Generation
InvestOS
Financial Technology
Rules-based methodologies
Portfolio management
Software Engineering
System Architecture
Evaluation Frameworks
Benchmarking
Data Analysis
Research
Product Development
API
Latency
Scalability
Production Systems
Technical Leadership
Investment Strategies
Capital Markets
Startup

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