2 дня назад
Forward Deployed Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI) (Python/Node.js/LLMs): Owning end-to-end enterprise AI deployments, from ambiguous business problems through production go-live and stabilization, with an accent on agent development, systems integration, and customer-embedded delivery. Focus on integrating with legacy systems and customer infrastructure, debugging production environments, and building reliable AI agents that deliver measurable business outcomes.
Location: Customer sites several days a week during active deployments
Company
builds a production-grade AI platform that autonomously handles mission-critical enterprise workflows.
What you will do
- Own customer deployments end to end, from signed deal through production launch and stabilization.
- Design and ship production AI agents using prompt engineering, orchestration, edge-case handling, and systematic testing.
- Integrate the platform with legacy systems, APIs, CRMs, telephony, and customer infrastructure.
- Debug and resolve issues in production environments outside your direct control.
- Challenge weak requirements and align technical and business stakeholders around practical solutions.
- Work directly with customers and drive measurable business impact.
Requirements
- Strong software engineering and systems integration fundamentals, including Python or Node.js, APIs, and data.
- Hands-on experience with LLMs and AI systems, plus comfort using AI tools.
- Experience solving complex problems in legacy or enterprise environments.
- Strong product judgment, structured problem decomposition, and decision-making under ambiguity.
- Clear communication with engineers and business leaders.
- Fluent Hebrew and strong English are required.
Culture & Benefits
- Work on production systems serving major enterprise customers.
- Base compensation is supplemented by paid client-site days.
- Production go-lives include milestone bonuses.
- Collaborate directly with R&D, with field learnings shaping the product.
- Operate in a high-trust, high-accountability engineering environment.
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