Founding Agentic Engineer (Intermediate)

The Opportunity

Charitability builds finance-first automation tools for local governments and funders. We've been operating for multiple years in this sector, with real revenue and a growing client base. Our clients are the municipal Service System Managers (SSMs) across Ontario who administer public child care funding under Canada's CWELCC program. We cover more than 30% of all cities in Ontario, and our clients collectively manage over $350 million in funding across the sector.

Our core products help SSMs run their financial reconciliation processes — collecting, validating, benchmarking, and reporting on operator financial data at scale. We've also built what we believe is the only municipally deployed agentic financial cost audit system in Canada: an AI-powered pipeline that processes structured financial data alongside unstructured narrative responses and supporting documents to conduct deep automated cost reviews. This isn't a pitch deck promise. It's live, in production, processing real customer data.

You'll be our first full-time engineering hire. You won't be inheriting a mature codebase with a senior team around you. You'll be stepping into a company where your decisions shape the product, the architecture, and the culture. That's the deal: more ownership, more impact, more risk, more upside.

What You'll Work On

Your work will span maintaining and extending production systems, building new products, and pushing into new sectors:

• Scaling our financial reconciliation platform. Our core tooling already serves more than 30% of Ontario's municipal governments. You'll help mature these systems into production-grade SaaS applications — adding reliability, maintainability, and new capabilities as we grow.
• Improving the reliability of our agentic audit system. Building automated evaluation suites, adapting to new data schemas, integrating validation harnesses, and making AI-generated outputs trustworthy in regulated government contexts.
• Building new products — operator tools and financial risk tools. From operator-specific financial management tools for the child care sector to a new financial viability risk assessment system — greenfield work with real clients waiting.
• Expanding into employment services. We're growing beyond child care. You'll help design and build the agentic automation tools that power this expansion from day one.
• Building the development infrastructure itself. This isn't just about the products — it's about creating the agentic feedback loops in the software development process: evaluation harnesses that write their own fixes, CI/CD pipelines that use AI at every stage, and PR review workflows that close the loop from issue to deploy.

Who You Are

This role is defined less by your resume and more by how you think about building software in 2026. We're not looking for someone who just uses AI tools. We're looking for someone who builds production systems around them.

The Non-Negotiables

• You live in agentic coding tools. Cursor, Claude Code, or Windsurf — you don't just use them, you think in them. You understand what technology-agnostic development actually means: that the barrier to working across unfamiliar stacks has collapsed, and you find that thrilling.
• You build production systems around AI, not just with it. You're thinking about how to integrate agentic tools into an end-to-end development stack: structured codebase documentation, agentic PR reviews, CI/CD pipelines that leverage AI at every stage, PagerDuty integrations, and automated debugging workflows. You're creating the infrastructure that lets AI agents work reliably — not just the features they produce.
• Validation and evaluation are core to how you ship. In an era of agentic development, you understand that test suites and evaluation frameworks aren't afterthoughts — they're what makes speed sustainable. You think about agentic feedback loops: evaluation harnesses that catch regressions, generate fixes, and close the loop automatically.
• You ship fast and think in MVPs. You're wired to find the shortest path to value and iterate from there. With agentic tools, you can build multiple products simultaneously — and you think about how to do that reliably.
• You care about information security and compliance. Our customers are municipal governments handling sensitive financial and personal data. You think about security as a design constraint — especially in a world where AI agents are reading and writing production data.
• You have strong fundamentals and extremely high agency. 1–5 years of professional experience, or strong co-op terms with serious side projects. What matters is that you've shipped real things, worked with production APIs, and can learn fast in unfamiliar territory.
• You can work across the stack. Our current production tools are built on JavaScript/TypeScript and Google Apps Script — and we're actively building new products on modern stacks: Firebase, Next.js, Vercel, and Google Cloud infrastructure. You're comfortable moving between backend logic, data pipelines, and frontend interfaces.

What Sets You Apart

• You've integrated LLMs into production applications — not just prototyped. You understand prompt engineering, structured output parsing, LLM context and memory management, evaluation frameworks, and the reliability challenges of AI in regulated contexts.
• You've built or contributed to agentic development workflows. Maybe you've set up Claude Code with automated PR review. Maybe you've built evaluation suites that catch regressions in LLM outputs. Maybe you've created CI/CD pipelines that integrate AI-assisted code review or auto-generated fixes. We want to hear about it.
• You're drawn to meaningful government work. You're excited about joining a company pushing genuinely innovative technical practices in a space that actually matters — not just another SaaS.
• You're excited by breadth. In a given week you might be architecting an evaluation harness, building a React component, designing a database schema, or debugging a Google Apps Script trigger. That range energizes you.
• You've worked with Google Workspace APIs (Sheets, Docs, Drive) or have experience building tools on top of spreadsheet-based workflows.

Why Charitability

• Real impact. This isn't a nice-to-have dashboard. You're building critical operational infrastructure that helps governments more effectively manage essential public services. The child care sector runs more efficiently, families get access to childcare, individuals get employment services. This is civic tech that actually matters.
• Foundational role. You're not employee #200. You're the first engineering hire. Your fingerprints will be on everything we build.
• AI-native development at the frontier. One of our core products is a deployed agentic AI system. You'll be pushing the frontier of what's possible with LLMs in regulated government contexts — and building the development infrastructure to do it reliably.
• Modern tech stack, serious scale. New products are being built on Firebase, Next.js, Vercel, and Google Cloud. Our existing systems run on Google Apps Script with Claude API integrations. You'll help define what the next-generation stack looks like.
• Growth trajectory. We're expanding from child care into employment services and beyond. Multiple products in active development. You'll help define what Charitability becomes.
• Equity upside. 0.5–1.5% ownership with standard 4-year vesting. If we succeed, this is meaningful.

Compensation

Apply Now

Charitability Inc · London, Ontario · charitability.ca