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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 LLM-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, with experience building and shipping real systems rather than only scripts.
  • 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 application programming interfaces, authentication patterns, and enterprise-system integrations.
  • 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 skills 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%.

Responsibilities

  • Own customer solutions end-to-end by rapidly prototyping, iterating, and deploying solutions in live operational environments with short timelines.
  • Build trusted relationships from individual-contributor-level stakeholders to executive sponsors and serve as the company's technical representative in customer settings.
  • Carry several customer engagements in parallel according to customer priorities and pod capacity; set expectations, renegotiate when circumstances change, work without close supervision, and own outcomes.
  • Operate as part of a small, multidisciplinary, self-directed team, trading tasks 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 improvements.
  • Bring field learnings back into the platform and help turn successful approaches into durable, scalable capabilities.
  • Unblock work independently, adapt to changing conditions, and take end-to-end ownership without close supervision.
  • Explore new tools pragmatically and apply them where they create value.
  • Communicate across engineering, product, and business stakeholders in writing, verbally, and in meetings.
  • Complete work and deliver outcomes despite incomplete clarity.
  • Identify needs, secure necessary help or learning, and deliver independently.
  • Guide customers through transitions and mentor their teams in adopting 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 in a startup where the candidate handled multiple responsibilities.

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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