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Kinaxis

Senior AI Software Engineer, Agentic Systems, Data Fabric

Kinaxis

. Build core services and reusable runtimes that connect LLMs and agents to governed data on Databricks .

Posted 10/5/2026full-timeCanadaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in architecting resilient execution workflows and APIs, with a strong focus on building scalable Python runtimes and developer SDKs. Proficient in designing observable workflows and automating cloud infrastructure using tools like Terraform and CI/CD pipelines.

Highest-signal resume keywords
Python Runtime DevelopmentAPI ArchitectureAgent Frameworks ExperienceCloud Infrastructure AutomationObservable Workflow Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonAPI DevelopmentAsynchronous ServicesAutomated TestingState ManagementExecution WorkflowsProduction PlatformsRuntime Feedback LoopsTool Calling InfrastructureMulti-Tenant Design
Soft Skills
Proactive Problem SolvingIndependent VerificationClient Needs Assessment
Tools & Technologies
DatabricksUnity CatalogDelta LakeGCPAzureTerraformCI/CD Pipelines
Industry Keywords
Governed DataMulti-Cloud PipelinesExecution ContextHuman GovernanceProduction-Ready Solutions

Tech Stack

Tools & technologies
AzureCloudGoogle Cloud PlatformPythonSQLTerraformUnity

About the role

Key responsibilities & impact
  • Build core services and reusable runtimes that connect LLMs and agents to governed data on Databricks
  • Wire agent workflows into Delta Lake, Unity Catalog, SQL endpoints, and multi-cloud pipelines across GCP and Azure
  • Design multi-tenant boundaries across data, compute, identity, and execution context
  • Ship production-ready APIs, SDKs, reference implementations, and runbooks that teams adopt at scale
  • Design and implement execution patterns, tool-calling infrastructure, and runtime guardrails for reliable agentic workflows on enterprise-grade data

Requirements

What you’ll need
  • Track record architecting resilient execution workflows, APIs, and production platforms
  • Hands-on production experience with agent frameworks, tool calling, state management, approvals, retries, and evaluation
  • Experience designing observable, self-correcting workflows with planning, independent verification, and human governance
  • Experience applying automated testing, runtime feedback loops, and guardrails to validate agent-generated outcomes
  • Deep proficiency writing scalable Python runtimes, asynchronous services, and developer SDKs
  • Proactive builder who independently turns ambiguous problem spaces and client needs into impactful platform products
  • Hands-on experience with Unity Catalog, Delta Lake, and SQL endpoints on GCP or Azure (nice to have)
  • Experience automating cloud infrastructure using Terraform and CI/CD pipelines (nice to have)

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