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# Forward-Deployed Engineer

- **Company:** The Forum
- **Location:** Chicago, IL, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Mobile Application Development, Twilio, Core Voice Platform, Claude Code, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/forward-deployed-engineer-chicago-il--1ef8a894-f34d-4b01-b8f3-4d0f6c991c1b

## About the Role

Willing to Travel, Vehicle Fleets, Startup, Fleet Management, Ontology, Trucking, Artificial Intelligence (AI), Fellowship, Retail Management, Logistics, * Real logistics/trucking/supply chain experience, you've worked in or built for fleets, carriers, brokers, 3PLs, or fleet maintenance and understand how trucking operations actually run

 * Expert, daily-driver fluency with AI-native development tools, Claude Code, Codex, and agentic coding workflows are how you build, not something you're "familiar with." You should be able to demonstrate this live
 * Strong full-stack engineering with a bias for integrations: REST/webhook APIs, data pipelines, third-party systems (telematics, TMS, maintenance platforms)
 * Extremely high energy and customer-facing confidence, comfortable presenting to a VP of Maintenance in the morning and shipping the fix that afternoon
 * Extreme ownership, you run at ambiguity, don't wait for specs, and treat the customer's problem as yours

Nice-to-have

 * Prior forward-deployed experience (Palantir-style FDE / deployment strategist, or equivalent embedded customer engineering)
 * GCP
 * Palantir AIP / Foundry, ontology-driven data modelling and operational AI
 * Voice AI: ElevenLabs and Twilio

## Description

This is not a build-from-the-office job. You'll embed directly with enterprise fleet customers, sitting with maintenance directors, dispatchers, and shop managers to understand their workflows, then ship working software the same week. You'll build integrations across telematics, TMS and maintenance systems, design agent workflows on top of messy real-world fleet data, and own deployments end to end: from first discovery conversation to production running on thousands of trucks.