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Added 4 days ago
Business Solutions Developer
TC Energy
Calgary, AB
Full-time
Experience with prompt engineering for generative AI solutions, including designing, testing, and refining prompts to support application functionality and business use cases.
Added 3 days ago
Lead Agentic AI Engineer
RBC
Toronto, ON
Full-time
Manage and develop Context Engineers/Prompt Engineers, establishing best practices in context design, retrieval strategies, and agent behavior tuning
Added 4 days ago
Cloud Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We're not looking for someone who just knows Kubernetes, Kafka, Elasticsearch, and Redis. We're looking for a Senior Engineer who treats AI-assisted engineering as a core skill - someone…
Added 3 days ago
SDET Contractor
PlayStation Global
Waterloo, ON
We are looking for an experienced Software Development Engineer in Test (SDET) to help ensure the quality, reliability, and resilience of Agentic AI systems and backend services. This role…
Added 3 days ago
Business Solutions Developer
TC Energy
Calgary, AB
Full-time
Experience with prompt engineering for generative AI solutions, including designing, testing, and refining prompts to support application functionality and business use cases.
Added 4 days ago
Software Engineer
Beacon Software
Toronto, ON
Full-time
Hands-on experience with LLMs. You have built projects or applications using LLM APIs, prompt engineering, or agentic frameworks beyond simple chatbot prompts.
Added 3 days ago
AI Engineer
Yeshnex IT Solutions
Canada
Contract
Implements LLM orchestration patterns including prompt engineering, retrieval-augmented generation (RAG), multi-agent workflows, and structured output generation.
Added 3 days ago
AI Platform Engineer, Enablement and Governance Operations
Kraken
Canada
Full-time
Build internal tooling that extends the platform. Think agent scaffolding, reusable skills and prompt assets, evaluation harnesses for model changes, provisioning automation, and…
Added 4 days ago
Presales Solutions Architect
Centrilogic
Toronto, ON
Full-time
Added 4 days ago
Cloud Engineer
RBC
Toronto, ON
Full-time
We're not looking for someone who just knows Kubernetes, Kafka, Elasticsearch, and Redis. We're looking for a Senior Engineer who treats AI-assisted engineering as a core skill - someone…
Added 29 days ago
Senior Engineer, Applied AI
Fulfillment IQ
Toronto, ON
Full-time
A seasoned AI engineer (ninja-level) with hands-on experience in developing and deploying real LLM systems, who excels in environments with significant ownership responsibilities and values…
Added 4 days ago
GenAI Test Engineer
Themesoft Inc.
Halifax, NS
Contract
3. LLM evaluation, prompt-injection and hallucination testing, CI/CD and observability
Added 4 days ago
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Salesforce Partner Canada
Toronto, ON
Full-time
You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.
Added 4 days ago
Freelance Agent Evaluation Engineer
Mindrift
Remote, Canada
Part-time · Remote
Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent
Added 4 days ago
AI and Automation Engineer Co-op/Internship (Winter & Summer 2027)
BCI
Victoria, BC · CA Victoria
Full-time
…is currently seeking a Digital Workplace AI and Automation Engineer co-op student/intern for the Winter & Summer 2027 work terms (January to August) to help design, build, and operate the…
Added 5 days ago
Senior Reactor Analysis Engineer
AtkinsRéalis
Mississauga, ON
Full-time
We are currently seeking Senior Reactor Analysis Engineer to support our ongoing and upcoming CANDU 6 International Retube projects. This role is based out of the Candu Energy Inc. home…
Added 4 days ago
Senior Reactor Analysis Engineer
AtkinsRéalis
Mississauga, ON
Full-time
We are currently seeking Senior Reactor Analysis Engineer to support our ongoing and upcoming CANDU 6 International Retube projects. This role is based out of the Candu Energy Inc. home…
Added 4 days ago
Senior Reactor Analysis Engineer
AtkinsRéalis
Mississauga, ON
Full-time
We are currently seeking Senior Reactor Analysis Engineer to support our ongoing and upcoming CANDU 6 International Retube projects. This role is based out of the Candu Energy Inc. home…
Added 5 days ago
Staff AI Application Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Exposure to LLM providers (OpenAI, Anthropic Claude, Cohere, Llama), prompt/context engineering, and LLM cost optimization techniques such as token tracking, prompt compression, caching,…
Added 4 days ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
$168,000 to $231,000 CAD / year
Full-time
In this role, you will join the Agent Access Policies sub-team within Okta Secures AI as a Staff Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing…
Added 4 days ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
In this role, you will join the Agent Access Policies sub-team within Okta Secures AI as a Staff Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing…
Added 5 days ago
Senior Data Engineer
Minga
Kelowna, BC
Full-time
As a Senior Data Engineer at Minga, you’ll own the data platform that turns our product and business data into something 2,000+ schools, and every team at Minga, can trust. Reporting to the…
Added 4 days ago
AI Full Stack Developer
Synechron
Halifax, NS
$120,000 to $125,000 CAD / year
Full-time
We are seeking a Senior AI Full Stack Engineer to join a strategic technology initiative within client's Capital Markets. The successful candidate will help design and develop modern…
Added 5 days ago
AI Engineer Intern (Winter 2027)
Ciena
Ottawa, ON
Full-time
Added 4 days ago
Artificial Intelligence Engineer
Pacer Group
Toronto, ON
$70 to $75 CAD / hour
Contract
Job Title: Senior AI Engineer -JVM Engineering (Java, Kotlin)

Beacon Software

Software Engineer

Toronto, ON, Canada

Job type: Full-time
Experience: 1–4 years of full-time software engineering experience with strong fluency in Python, TypeScript, or Go
Posting language: English
Posted: Sep 17, 2026

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Original job description

About Beacon Software

Beacon is acquiring and operating a portfolio of vertical SaaS companies. Most private equity firms scale by adding people. We are building Beacon to scale by adding software. The thesis is simple: portfolio operations, value creation, and deal sourcing are bottlenecked by human attention, and an agentic operating system can lift that ceiling by an order of magnitude.

We are building that system. It has two pieces. A sensing layer is a cross-portfolio data lake on open table formats with a feature store on top that makes the data agent-readable. An action layer runs workflows across three domains: how we run the firm, how we grow the portfolio, and how we acquire into it. Underneath both sits a feedback loop that captures every action and outcome with stable identifiers.

Beacon has raised $550M+ from investors including General Catalyst, Lightspeed, D1 Capital, CPMG, and the family offices of the founders of Stripe, DoorDash, and Ramp.

About the Role

Forward Deployed Software Engineers work directly on transforming how Beacon operates. In this role, you will embed directly with our internal business units - such as Finance, Legal, M&A, and Talent - figuring out where operational bottlenecks lie and shipping agentic software directly into our core firm workflows. You will take foundational agent platforms built by our engineering teams and turn them into operational leverage for internal stakeholders.

This is a high-impact, hands-on software engineering role. You will spend your time working alongside domain leaders within Beacon to identify high-leverage workflows and deploy agentic AI tools that automate, accelerate, and scale internal processes. The best engineers will compress complex internal domain knowledge into scalable, automated workflows that increase firm efficiency.

This is not a traditional corporate engineering position. We ship production code from day one. The deliverable is a running system.

What You'll Do

Embed with internal business units. Spend time with leaders across Finance, Legal, M&A, and Operations to understand how their teams function, where manual work accumulates, and where agentic automation can unlock speed.
Identify core leverage points. Map out key workflows - such as financial reporting pipelines, contract intake and review, deal sourcing analysis, or diligence document parsing - where LLM-native applications will create the greatest impact.
Build and deploy agentic tools. Construct integrations, prompts, evaluations, and user interfaces to land autonomous agent loops directly into daily operations.
Iterate and measure. Monitor system performance in production, gather feedback from team members, refine model prompts, and tune autonomy parameters for safety and efficacy.
Standardize patterns. Document your architecture and deployment patterns so that core engineering teams can turn custom agent solutions into reusable infrastructure across the firm.
Partner with internal stakeholders. Serve as the technical bridge between engineering and internal business teams, building strong relationships and ensuring smooth adoption of new software.

Who You Are

1–4 years of full-time software engineering experience with strong fluency in Python, TypeScript, or Go
Product-minded and inquisitive. You enjoy working directly with end-users, understanding operational workflows, and solving actual business problems with code.
High autonomy and proactive execution. You thrive in ambiguous environments, take ownership of projects from concept to deployment, and adapt quickly to feedback.
Hands-on experience with LLMs. You have built projects or applications using LLM APIs, prompt engineering, or agentic frameworks beyond simple chatbot prompts.
Curious about business operations. You want to understand how finance, legal, and M&A functions operate at a tech-focused capital allocation firm.

Clear communicator. You express ideas clearly in writing and can explain technical choices to non-technical partners.

Bonus Points

Experience with cloud infrastructure, data pipelines, or vector databases

Experience building custom tooling using LLMs, autonomous agents, or workflow automation tools

Our Values at Beacon Software

Humility: We acknowledge that the path to getting to the right answer involves being wrong along the way. We have strong beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time.
Honesty: We are truth seeking in our approach to business problems. Business is a repeat game and we believe that human relationships generate alpha. We understand that trust is earned over a lifetime and can be lost in an instant.
Hunger: We play to win. We hold ourselves to high standards and will not be outworked. We take pride in having a deep sense of responsibility to ourselves, each other, our partners, and our customers. We believe to whom much is given much is expected.
Horizon: We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth.

How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Beacon Software uses Artificial Intelligence and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.

AI does not make hiring decisions: Every application is reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.

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More about this job

Responsibilities

You will embed with internal business units to identify operational bottlenecks and deploy agentic AI tools to automate workflows. You are responsible for building, testing, and monitoring production-grade software that increases firm efficiency.

Requirements

The role requires 1–4 years of full-time software engineering experience with proficiency in Python, TypeScript, or Go. Candidates must have hands-on experience with LLMs and a strong interest in solving complex business operations problems.

Skills

Python
TypeScript
Go
LLM APIs
Prompt Engineering
Agentic Frameworks
Software Engineering
Cloud Infrastructure
Data Pipelines
Vector Databases
Workflow Automation
System Architecture
Production Code
Technical Communication

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
Python
TypeScript
Go
LLM
Agentic AI
Automation
SaaS
Data Lake
Feature Store
Workflow
Cloud Infrastructure
Vector Databases
Prompt Engineering
Production Code
Finance
Legal
M&A
Talent
Operations
System Architecture
API
Data Pipelines
Autonomous Agents

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