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Kinaxis

Forward Deployed Engineer

Kinaxis

. Own customer solutions end-to-end by rapidly prototyping, iterating, and deploying solutions in live operational environments .

Posted 10/23/2026full-timeRemote • United States, CanadaJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying LLM-based applications and Agentic AI solutions on the Kinaxis Maestro Platform, while effectively managing customer engagements and fostering collaboration across multidisciplinary teams.

Highest-signal resume keywords
LLM-Based Application DevelopmentPython ProficiencyData Pipeline ManagementREST And Streaming APIsCustomer-Facing Technical Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software Engineering FundamentalsMulti-Agent WorkflowsPrompt And Context EngineeringAgentic Orchestration PatternsData ModelingDebugging SkillsEnterprise System IntegrationTool-Use PatternsAirflowKafka
Soft Skills
Relationship BuildingMentoringCommunication
Tools & Technologies
Kinaxis Maestro PlatformCopilotClaude CodeSnowflakeDatabricksBigQueryAgentic IDE Workflows
Industry Keywords
Supply Chain PlanningLogisticsOperations

Tech Stack

Tools & technologies
AirflowBigQueryKafkaPython

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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