Posting record
Open 11+ days
- Ciridae's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Ciridae, so its true age is longer.
Last checked Nov 1, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
You turn a compelling prototype into the production system a customer actually runs on. Full-stack, at a pace that is not normal. This is a high-agency engineering role with unusual variety: every engagement brings a different industry, workflow, and technical problem. Our Forward Deployed Engineers go into the field, learn how the business works, establish the vision, and build the first version. You take that context and make it real: well-architected, reliable software that handles messy data, demanding users, and everything production exposes. While the FDE leads the customer relationship and communicates the vision, most of your time is spent building.
What you own. The application from validated prototype through launch and iteration: frontend, backend, data models, integrations, LLM orchestration, testing, deployment, and the operational plumbing that keeps it running. You translate field context into technical decisions and make complex AI systems intuitive for nontechnical users. This ownership includes identifying gaps, making architecture decisions, pushing back when solutions will not survive production. What you learn on one engagement becomes a reusable component, pattern, or capability that makes the next deployment faster
What you bring. Deep full-stack engineering fundamentals. You have shipped production software across React and TypeScript on the frontend and Python, APIs, and Postgres on the backend. You can design clean data models, debug across the stack, and reason clearly about security, performance, reliability, and maintainability. You have production experience with LLM-powered applications and practical opinions about agents, RAG, tool use, evaluations, observability, and designing around non-deterministic behavior. You use AI deeply in your engineering workflow to build, debug, and iterate faster. You pair urgency with a high bar for code quality and production readiness.
Level. We expect roughly 3+ years of software engineering experience, with demonstrated ownership of complex systems end-to-end. Technical depth and independent execution matter more than an exact number of years.
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