Forward Deployed Engineer

🕒 il y a 1 mois

🌐 États-Unis, Canada – Distant

🇺🇸 États-Unis – Télétravail 🇨🇦 Canada – Télétravail

🏄 California, New York – Distant

🏄 California – Remote 🗽 New York – Remote

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

👷🏻‍♀️ Ingénieur

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Kinaxis

Site WebLinkedInTous les Emplois

1001 - 5000 employés

💼 Conseil

🏥 Santé

🏭 Fabrication

💰 €33 000 000 Venture Round en 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis est un fournisseur de premier plan de solutions d'orchestration de chaîne logistique, spécialisé dans la planification et la gestion de chaîne logistique enrichies par l'intelligence artificielle. Leur plateforme phare, Maestro, permet aux organisations de maîtriser la complexité et d'optimiser les processus décisionnels sur l'ensemble de la chaîne logistique. En intégrant des analyses avancées à une visibilité des données en temps réel, Kinaxis aide les entreprises à améliorer leur efficacité opérationnelle, prédire la demande, et réagir de manière proactive aux perturbations.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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