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Forward Deployed Engineer

🕒 Outubro 23

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

👷🏻‍♀️ Engenheiro

🚫👨‍🎓 Sem graduação necessária

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Kinaxis, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Outubro 23

Ainda aberta no site da Kinaxis. Verificada 17 minutos atrás.

Logo of Kinaxis

Kinaxis

1001 - 5000 funcionários

💼 Consultoria

🏥 Saúde

🏭 Manufatura

💰 $33.000.000 Venture Round em 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis é líder global em gestão moderna da cadeia de suprimentos. Atendemos cadeias de suprimentos e as pessoas que as gerenciam em prol da humanidade. Nosso software é confiado por marcas globais renomadas para fornecer a agilidade e previsibilidade necessárias para navegar na volatilidade e disrupção atuais. Combinamos nossa técnica de concorrência patenteada com uma abordagem centrada no humano para IA, capacitando empresas de todos os tamanhos a orquestrarem sua rede de cadeia de suprimentos de ponta a ponta, desde o planejamento estratégico de longo prazo até a execução em tempo real e entrega na última milha.

Descrição

• Own customer solutions end-to-end by rapidly prototyping, iterating, and deploying solutions in live operational environments • Build trusted relationships from individual contributors to executive sponsors and serve as the company’s technical face • Manage multiple customer engagements in parallel according to customer priorities and pod capacity • Operate in a small, multidisciplinary, self-directed POD team • Partner with Product and Engineering to turn field learnings into durable platform capabilities • Mentor customer operators and guide teams through solution transitions and adoption • Build, ship, and support Agentic AI solutions on the Kinaxis Maestro Platform • Measure success through business outcomes such as efficiency gains, exception reduction, and SLA improvements • Bring field learnings back into the platform and abstract successful approaches into scalable capabilities • Communicate across engineering, product, and business stakeholders

🎯 Requisitos

• Hands-on experience building LLM-based applications, RAG systems, multi-agent workflows, tool-use patterns, prompt and context engineering • Familiarity with AI-assisted development tools such as Copilot, Claude Code, and agentic IDE workflows • Understanding of agentic orchestration patterns, including single versus multi-agent architectures, memory, and state • Solid hands-on software engineering fundamentals and experience building and shipping real systems • Proficiency in at least one backend language; Python strongly preferred • Ability to read and contribute across a polyglot codebase • Experience with REST and streaming APIs, authentication patterns, and enterprise system integration • Ability to build and maintain data pipelines for ingestion, transformation, serving, and monitoring using Airflow, Kafka, dbt, or equivalents • Familiarity with modern data platforms such as Snowflake, Databricks, BigQuery, or similar, including data modeling and performance fundamentals • Strong debugging skills with imperfect, real-world production data • 2–5 years of professional experience in software engineering, data engineering, solutions engineering, or a technical-founder role • Customer-facing technical experience is a strong signal, though not a requirement • Ability to travel as required, up to 50% • Supply chain planning, logistics, or operations experience is a plus, not a requirement

🏖️ Benefícios

• 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 • Accessibility accommodations upon request

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