Forward Deployed Engineer II

Posted 17 hours ago

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About the role

  • Forward Deployed Engineer building and deploying agentic AI solutions on Kinaxis Maestro. Helping global supply-chain customers improve operational outcomes and adopt new workflows.

Responsibilities

  • 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

Job title

Job type

Full Time

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

AirflowBigQueryKafkaPython

Location requirements

RemoteUnited States

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