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Forward Deployed Engineer

Kinaxis
Remote, USA
Full-time
Mid · 2–5 years experience
Remote
Discovered 3 days ago
CopilotClaude CodePythonRESTSnowflakeDatabricks

Full Job Posting

Social Responsibility at Kinaxis

  • Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.
  • People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:
  • 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
  • For more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com .
  • Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at [email protected]. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.
  • Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.

Requirements

  • AI & Agentic Development
  • 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 (Copilot, Claude Code, agentic IDE workflows) as daily practice, not novelty.
  • Understanding of agentic orchestration patterns when to use single vs. multi-agent architectures, how to handle memory and state.
  • Software Engineering
  • Solid, hands-on software engineering fundamentals: you have built and shipped real systems, not just scripts.
  • Proficiency in at least one backend language (Python strongly preferred) and the ability to read and contribute across a polyglot codebase.
  • Experience with REST and streaming APIs, authentication patterns, and integration with enterprise systems.
  • Data Engineering & Platforms
  • Ability to build and maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents.
  • Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals.
  • Strong debugging instincts with imperfect, real-world data in production environments.
  • Supply Chain Domain (Nice to Have) Prior exposure to supply chain planning, logistics, or operations domains is a genuine plus not a requirement
  • 2 – 5 years of professional experience in software engineering, data engineering, solutions engineering, or a technical-founder role. Strong candidates at either end of that range are welcome to apply.
  • Prior exposure to customer-facing technical roles solutions engineering, forward deployment, technical consulting, or a startup where you wore multiple hats is a strong signal, though not a requirement.

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