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Forward Deployment Engineer - IFS Loops

Posted November 25, 2025
Full-time Mid-Senior Level

Job Overview

TheLoops, an IFS company, is the first enterprise-grade AI Agent platform built for SaaS, CX, and mission-critical industries. Our AI Agents are secure, always-learning digital coworkers that work 24/7 to drive measurable business outcomes. As the company grows, it is looking for mission-driven individuals to help deliver the future of AI-powered operations.

At TheLoops, they:

  • Lead with Curiosity: They ask questions, learn, and communicate with respect for each other.
  • Learn by Making: They iterate fast to deliver tangible solutions with humility.
  • Listen to the Loop: They use data and feedback to map their path to success and measure it with autonomy and empathy.

As a Forward Deployed AI Engineer, you will work directly with enterprise customers to deliver pilot, production-ready AI agent solutions. You will lead the design and deployment of intelligent agents across customer workflows, owning everything from discovery and prototyping to configuration, testing, and launch. This is a fast-paced, hands-on role that combines engineering, customer collaboration, and applied AI. You will serve as a critical link between the product and the customer's needs, ensuring rapid value delivery and laying the foundation for long-term success.

What You'll Do

  • Customer Engagement & Solution Implementation:
    • Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows.
    • Integrate TheLoops’ platform with customer systems.
  • Technical Execution & Optimization:
    • Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors).
    • Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption.
  • Cross-functional Collaboration:
    • Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap.
    • Document technical decisions and hand off stable deployments to customer engineering or support teams.

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