Forward Deployed Engineer II

🕒 October 22

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

👷🏻‍♀️ Engineer

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kinaxis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $33M Venture Round on 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis is a leading provider of supply chain orchestration solutions, specializing in AI-infused supply chain planning and management. Their flagship platform, Maestro, enables organizations to master complexity and optimize decision-making processes across the entire supply chain. By integrating advanced analytics with real-time data visibility, Kinaxis helps businesses improve operational efficiency, predict demand, and respond proactively to disruptions.

📋 Description

• Own customer solutions end-to-end by rapidly prototyping, iterating, and deploying solutions in live operational environments • Build trusted customer relationships from individual contributors to executive sponsors and serve as the technical face of Kinaxis • Manage multiple customer engagements in parallel based on 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 • Measure success through business outcomes such as efficiency gains, exception reduction, and SLA improvements • Bring field learnings back into the platform and help create scalable capabilities

🎯 Requirements

• 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, including Copilot, Claude Code, and agentic IDE workflows • Understanding of agentic orchestration patterns, including single- versus multi-agent architectures and handling 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 • Working familiarity with modern data platforms such as Snowflake, Databricks, BigQuery, or similar • Data modeling and performance fundamentals • Strong debugging instincts with imperfect, real-world data in production environments • 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%

🏖️ Benefits

• 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

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