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Kinaxis

Cloud-based supply chain planning platform

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeCA$127.8k

About the Job

Requirements

  • Hands-on experience building LLM-based applications, including retrieval-augmented generation systems, multi-agent workflows, tool-use patterns, and prompt and context engineering.
  • Familiarity with modern AI-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- versus multi-agent architectures and how to handle memory and state.
  • Solid, hands-on software engineering fundamentals and experience building and shipping real systems.
  • Proficiency in at least one backend language, with Python strongly preferred, and 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 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 communicate clearly across engineering, product, and business stakeholders, both in writing and verbally.
  • Ability to travel as required, up to 50%.

Responsibilities

  • Own customer solutions end-to-end by rapidly prototyping, iterating, and deploying them in live operational environments.
  • Build trusted customer relationships from individual-contributor stakeholders to executive sponsors and serve as the company's technical representative in customer engagements.
  • Manage several customer engagements in parallel according to customer priorities and pod capacity; set expectations, renegotiate when circumstances change, operate independently, and own outcomes.
  • Work as part of a small, multidisciplinary, self-directed deployment team, trading tasks based on 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 drive adoption.
  • Measure success through business outcomes such as efficiency gains, exception reduction, and service-level improvements.
  • Bring field learnings back into the platform and help abstract effective solutions into durable, scalable capabilities.
  • Unblock work independently, adapt to changing conditions, take end-to-end ownership, and deliver without close supervision.
  • Explore new tools pragmatically and apply them where they create value.
  • Identify priorities, obtain needed help or learning, and deliver outcomes independently.
  • Engage with customer stakeholders at different levels, including executives, architects, and analysts, and address their concerns.
  • Deliver solutions in situations with undefined problems, scope, and success metrics.

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 in a broad, multi-hat role.

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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