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Kinaxis

Cloud-based supply chain planning platform

Forward Deployed Engineer 1

AI Application EngineeringUpdated on Nov 12
Full-timeNo salary listed

About the Job

Requirements

  • Hands-on experience building large language model-based applications, including retrieval-augmented generation systems, multi-agent workflows, tool-use patterns, and prompt and context engineering.
  • Familiarity with modern artificial intelligence-assisted development tools such as Copilot and Claude Code, and agentic integrated development environment workflows.
  • Understanding of agentic orchestration patterns, including when to use single-agent versus multi-agent architectures and how to handle memory and state.
  • Solid hands-on software engineering fundamentals, including having built and shipped real systems rather than only scripts.
  • Proficiency in at least one backend programming language, with Python strongly preferred, and ability to read and contribute across a polyglot codebase.
  • Experience with representational state transfer and streaming application programming interfaces, authentication patterns, and integration with enterprise systems.
  • Ability to build and maintain data pipelines for ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents.
  • Working familiarity with modern data platforms such as Snowflake, Databricks, or BigQuery, including data modeling and performance fundamentals.
  • Strong debugging ability with imperfect, real-world data in production environments.
  • Two to five years of professional experience in software engineering, data engineering, solutions engineering, or a technical-founder role.
  • Ability to travel as required up to 50%.
  • Ability to communicate clearly across engineering, product, and business stakeholders in writing, verbally, and in person.

Responsibilities

  • Own customer solutions end-to-end by rapidly prototyping, iterating, and deploying solutions in live operational environments with short timelines.
  • Build trusted customer relationships from individual contributors to executive sponsors and serve as the company's technical representative in customer engagements.
  • Carry several customer engagements in parallel according to customer priorities and pod capacity; set expectations early, renegotiate when circumstances change, operate without close supervision, and own outcomes.
  • Work in a small, multidisciplinary, self-directed unit, shifting tasks among team members according to the skills needed.
  • Partner with Product and Engineering to turn field learnings into durable platform capabilities rather than one-off scripts.
  • Mentor customer operators and guide their teams through solution transitions to support adoption.
  • Measure success through business outcomes such as efficiency gains, exception reduction, and service-level agreement improvements.
  • Bring field learnings back into the platform and help turn effective approaches into durable, scalable capabilities.
  • Unblock work independently, adapt to changing conditions, and take end-to-end ownership without requiring close supervision.
  • Explore new tools and apply them where they create practical value.
  • Complete work and deliver outcomes despite undefined problems, scope, or success metrics.
  • Identify needed support or learning and deliver without being prompted.
  • Help customers through transitions and mentor their teams to adopt new ways of working.

Desired Qualifications

  • Prior exposure to supply chain planning, logistics, or operations domains.
  • Prior exposure to customer-facing technical roles such as solutions engineering, forward deployment, or technical consulting, or experience at a startup where the candidate wore multiple hats.

About the Company

Kinaxis

Cloud-based supply chain planning platform

Kinaxis provides supply chain management software centered on its RapidResponse platform. The platform offers tools for control towers, operational planning, supply planning, demand planning, and inventory management, all designed to run concurrent planning so organizations can align sales and operations and make fast, data-driven decisions in minutes rather than days. Kinaxis uses a subscription-based model and offers consulting and implementation services, generating revenue from software access and services. The company differentiates itself through concurrent planning that integrates multiple planning domains into a single, agile workflow, enabling quick responses in volatile markets and strong visibility across the supply chain. Kinaxis aims to help businesses plan and respond quickly to market changes, improving agility and decision speed for a wide range of industries.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Ottawa, Canada
Founded
1984

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