Forward Deployed Engineer

🕒 vor 1 Monat

🌐 Vereinigte Staaten, Kanada – Remote

🇺🇸 Vereinigte Staaten – Remote 🇨🇦 Kanada – Remote

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

⏰ Vollzeit

🟢 Junior

🟡 Mittelstufe

👷🏻‍♀️ Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Kinaxis

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

💼 Beratung

🏥 Gesundheitswesen

🏭 Fertigung

💰 €33.000.000 Venture Round im 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis ist ein führender Anbieter von Supply-Chain-Orchestrierungslösungen und spezialisiert sich auf KI-gestützte Planung und Verwaltung von Lieferketten. Ihre Flaggschiff-Plattform Maestro ermöglicht es Unternehmen, Komplexität zu beherrschen und Entscheidungsprozesse über die gesamte Lieferkette hinweg zu optimieren. Durch die Integration fortschrittlicher Analytik mit Echtzeit-Daten sichtbarkeiten unterstützt Kinaxis Unternehmen dabei, die betriebliche Effizienz zu verbessern, die Nachfrage vorherzusagen und proaktiv auf Störungen zu reagieren.

Beschreibung

• Own customer solutions end-to-end • Rapidly prototype, iterate, and deploy solutions in live operational environments where the stakes are real and the timeline is short • Deliver relentless customer value • Build trusted relationships from the IC level to the executive sponsor and become the technical face of our company in the room • Run multiple threads • Carry several customer engagements in parallel based on customer priorities and pod capacity • Set expectations early, renegotiate honestly when reality shifts, operate without close supervision, and own the outcome • Operate as a SEAL team • Make the product better • Partner with Product and Engineering to convert field learnings into durable platform capabilities not one-off scripts • Drive adoption and lead the change • Mentor customer operators and guide their teams through solution transitions, so the new way of working actually sticks

🎯 Anforderungen

• AI & Agentic Development • Hands-on experience building LLM-based applications, RAG systems, multi-agent workflows, tool-use patterns, prompt and context engineering • Familiarity with modern AI-assisted development tools (Copilot, Claude Code, agentic IDE workflows) • Understanding of agentic orchestration patterns when to use single vs. multi-agent architectures, how to handle memory and state • Solid, hands-on software engineering fundamentals: you have built and shipped real systems, not just scripts • Proficiency in at least one backend language (Python strongly preferred) and the ability to read and contribute across a polyglot codebase • Experience with REST and streaming APIs, authentication patterns, and integration with enterprise systems • Ability to build and maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents • Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals • Strong debugging instincts with imperfect, real-world data in production environments • Prior exposure to supply chain planning, logistics, or operations domains is a genuine plus not a requirement • 2 – 5 years of professional experience in software engineering, data engineering, solutions engineering, or a technical-founder role • Prior exposure to customer-facing technical roles solutions engineering, forward deployment, technical consulting, or a startup where you wore multiple hats is a strong signal, though not a requirement

🏖️ Vorteile

• Flexible vacation and Kinaxis Days (company-wide days off) • Flexible work options • Physical and mental well-being programs • Regularly scheduled virtual fitness classes • Mentorship programs, training, and career development • Recognition programs and referral rewards • Hackathons