Beacon SoftwareSource d’offres vérifiée

Software Engineer

Offre en anglais

Toronto, ON
Sur place
Publié 19 sept. 2026
1 poste

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Type d’emploi: Temps plein
Niveau d’expérience: Intermédiaire · 2+ ans
Langue de l’offre: anglais
Heures de travail: 40 heures par semaine

Résumé du poste

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.

Détails du poste

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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Exigences

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.