Forward Deployed Engineer; FDE
Job in
St. Charles, Saint Charles, Kane County, Illinois, 60174, USA
Listed on 2026-07-13
Listing for:
Square Waves
Full Time
position Listed on 2026-07-13
Job specializations:
-
Software Development
Full Stack Developer, AI Engineer (Applied/Software), Backend Developer
Job Description & How to Apply Below
Location: St. Charles
Hybrid - St. Charles, IL & Fulton Market, Chicago
The roleYou're the technical person in the room with the client — and the one who builds the thing after the call ends. You'll join discovery calls, understand a client's actual problem (not just what they asked for), sketch 2–3 viable approaches, scope and price the work, then deliver it. You own solutions end-to-end: from "here's what's possible" to "here's the thing, working, in production."
This is not a presales role where you hand off to a delivery team. This is not a heads-down dev role where requirements arrive fully formed. It's both halves in one seat.
What you'll do- Sit in on client calls and translate business problems into technical options with real tradeoffs (speed vs. cost vs. complexity)
- Scope, roadmap, and price solutions — you'll draft the SOW, not just estimate hours for someone else's
- Build what you scoped: full-stack applications, automations, integrations, internal tools, AI workflows
- Deploy and maintain what you ship — you own it through production, not just through demo
- Feed what you learn in the field back into our productized offerings
- Full-stack
: comfortable across frontend (React/Next.js), backend (Node/APIs), and databases (Postgres/Supabase — schema design, not just queries) - AI-native development
: you use tools like Claude Code, Codex, and Cursor as force multipliers — and you know their limits. You can direct agents to do real work, review what they produce critically, and ship code you understand and stand behind - Modern deployment
:
Vercel, serverless, CI/CD — you ship fast without shipping fragile - Integration fluency
: REST APIs, webhooks, OAuth, and gluing together the tools our clients actually run (Hub Spot, Quick Books, Webflow, Zapier/Make) - AI implementation
: building LLM-powered workflows and agents for clients — prompt design, RAG, MCP, evals — not just using AI to code
- Client-facing confidence: you can explain a technical decision to a non-technical owner and hold the room
- Judgment on scope — knowing when the simple version is the right version
- Comfort with ambiguity; you'll often be defining the problem, not just solving it
- A builder's pace with an engineer's standards — AI tooling makes you faster, not sloppier
- Bonus: agency or consulting background
Clients trust your recommendations, projects come in close to what you scoped, and the things you build keep working after you move on.
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