Techtree
Techtree
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Forward Deployed Engineer

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MidFull-time
#378986·Dodano dziś·0
Źródło: jobs.techtree.dev
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Tech Stack / Keywords

AI AgentsSystem DesignSoftware EngineeringPythonAPI IntegrationCustomer Deployment

Firma i stanowisko

The organisation is an AI platform company helping large enterprises become AI-driven organisations. Their core product is deploying AI agents that operate reliably in production — solving real operational problems end-to-end for enterprise customers.

Wymagania

  • 3+ years of experience in technical problem-solving roles
  • Experience leading or contributing to solution scoping, discovery workshops, or early-stage AI/technical strategy in collaboration with sales, product, or deployment teams
  • Strong fundamentals in software and system design
  • Clear communication skills and a strong ownership mindset
  • High-agency mindset: comfortable creating clarity, proposing direction, and driving decisions without waiting for perfect requirements
  • Experience working across systems, integrations, and data flows
  • Comfort working directly with customers and owning ambiguous problems
  • Curiosity and genuine interest in building AI-powered systems that work in practice

Nice to have:

  • Experience in forward-deployed, solutions engineering, or customer-facing technical roles
  • Exposure to AI agents, automation, or conversational systems
  • Experience operating and improving production systems
  • Bachelor's degree in Computer Science or a related technical field

Obowiązki

  • Partner with customers to understand operational challenges and success criteria
  • Translate open-ended problems into clear technical designs and implementations
  • Build AI agents that integrate with customer systems and perform real tasks
  • Own deployments including reliability, performance, and continuous improvement
  • Test with real data, measure outcomes, and iterate based on results
  • Collaborate with Product & Engineering to ship high-quality solutions
  • Contribute to tools, documentation, and best practices that scale customer deployment
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