Software Engineer, AI Agents - Toronto
20 hours ago
Job description
About NationGraph
Our world runs on public infrastructure, yet government data sits fragmented across thousands of portals, PDFs, and poorly designed databases. Finding relevant information like which city just put out an RFP, or which agency is buying a new software system often requires detective-level research. NationGraph's mission is to end that detective work.
By automating data collection, normalizing records, building a knowledge graph with this data, and presenting them in a single, intuitive interface, we do for public procurement what Bloomberg did for finance and CoStar did for commercial real estate.
Our team works hard to simplify the complicated process of doing business with the government by building great software to solve a real problem.
AI applications applied to government procurement is in its infancy, join us in building an industry defining product.
You'll Join A Small Founding Team That:
Has successfully built, scaled, and sold companies in the past.
Built software infrastructure processing billions of dollars in transactions.
Is backed by world-class VCs and operating partners who've invested in, and built, iconic companies.
The Role:
We're hiring our first Software Engineer, AI Agents to upgrade our existing data operations infrastructure and build the backbone that gathers, syncs, and maintains structured data at scale. You'll design and ship the automation layer that powers tens of thousands of real-world interactions (emails, webforms, portals, downloads) and ensures reliability across distributed systems.
What You'll Do:
Automate sending and receiving data requests end-to-end: filtering/noise control, thread linkage, auto-downloads, failure handling, basic replies.
Data Request Engine Automation: automate email, email-forms, and webforms; tackle portal submissions with browser automation.
Enrichment pipeline: turn client enrichment requests into data ready sends; route and monitor responses automatically.
Targeted discovery/scraping: build URL/data scrapers using Ops' search patterns to find exact endpoints at scale.
Engineer reliability: manage retries/backoff, queues, observability, and self-healing jobs.
Ship fast, iterate faster: get real systems live early; refine with traffic.
What You'll Bring:
2–5 years backend/automation engineering.
Python expertise; API integrations; browser automation (Playwright/BrowserBase; BeautifulSoup okay).
SQL fluency (Postgres/Supabase/RDS) inside live automation loops.
Experience with async jobs/queues/schedulers and background workers.
Comfort stitching LLMs into workflows for routing/interpretation.
Clear communication, great docs, and ownership mindset.
Nice to have: early-stage startup experience; Airflow or similar; logging/metrics/monitoring patterns.
Compensation:
Competitive salary + early-stage equity
Unlimited PTO
High-quality health insurance, dental & vision coverage
Company provided lunches (Mon - Thur)
We believe in-person work is our default.
We're building a team of people who desires to work side-by-side and shape the culture of a growing company. In our experiences, some of the best ideas come from being in the room, feeling the pain, hearing the nuance, and catching the details that are easy to miss.
At the same time, we're flexible and supportive when working-from-home is needed to maintain a healthy, balanced work environment.
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