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Senior Developer (Enterprise AI)

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Hybrid

Senior Developer (Enterprise AI)

Clio

Senior Developer (Enterprise AI)

Skills

SQL QueriesData EngineeringRubyPythonRDatabricksMachine LearningAIdbtWorkdayCompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Burnaby, BC, Canada

Work mode:

Hybrid

Published on:

29 August 2026

What they need


  • The Senior Developer, Enterprise AI is a hands-on technical leader responsible for building, operating, and evolving Clio’s internal AI systems and platforms. Reporting to the Manager, Enterprise AI, this role focuses on delivering reliable, secure, and scalable AI-enabled workflows that integrate deeply with Clio’s internal data and tools
  • You will work closely with partners across R&D, Go-To-Market, Finance, People, IT, Data Engineering, and Data Insights to turn real business problems into production-grade AI solutions. This role owns the full lifecycle of what they build from design and implementation through monitoring, iteration, and long-term support
  • Design, build, and maintain AI-enabled workflows, services, and applications integrated with Clio’s internal data and systems
  • Implement and operate solutions using modern AI platforms and tooling (e.g., LLM APIs, orchestration frameworks, retrieval systems)
  • Partner with Data Engineering and Data Insights on data modeling, classification, and metadata management (e.g., Databricks, dbt)
  • Contribute to developer accelerator tooling (e.g. standardized tool calling, MCP server configuration)
  • Ensure solutions are observable, reliable, secure, and cost-efficient, with clear monitoring and operational ownership
  • Contribute to and uphold responsible AI standards, including privacy, security, and compliance requirements
  • Collaborate with cross-functional teams to translate ambiguous problems into clear technical designs and shipped solutions
  • Improve adoption and usability through documentation, internal tooling, and feedback-driven iteration
  • Act as a technical mentor and thought partner within the Enterprise AI team, helping raise the bar for engineering quality and delivery
  • Implement and document systems that are auditable and aligned with the organizational risk profile
  • This is a new position

Benefits

  • Specialized learning and development programs and access to an in-house performance coach
  • Equitable compensation for your contributions, regardless of gender, race, or any other identifying factor
  • Access to pay transparency on all of our global roles
  • Company equity for applicable employees
  • RRSP-matching in Canada, 401k in the US, and pension plans in Ireland
  • Hybrid model – striking the right balance between the benefits of in person connectivity that in office brings, and the flexibility of remote
  • Flexible paid time off (4-week minimum with opportunities for personalization based on individual needs and achievements)
  • Parental leave options for birthing and non-birthing parents
  • A $500 contribution to your child’s RESP
  • Various health, dental, and vision benefits for you and your family, including an Employee and Family Assistance Program
  • Virtual and In-person Wellness Programs to support mental and physical health
  • Paid time for volunteering through our Clio Gives program
  • $2000 annual counseling benefit for CAD Clions- 4+ years of experience in software engineering, data engineering, or AI systems development
  • Solid understanding of system design, reliability, observability, and operational best practices
  • Strong proficiency in Ruby, Python, and experience building services, pipelines, or applications in a cloud environment
  • Experience operating in environments with security, privacy, or compliance constraints
  • Ability to work effectively with non-technical stakeholders and translate business needs into technical solutions
  • Bachelor’s degree in Computer Science, Engineering, Data, or equivalent practical experience
  • Working knowledge of modern data platforms and tooling (e.g., SQL, Databricks, dbt)
  • Experience working with AI/ML or LLM-powered systems (e.g., prompt design, orchestration, retrieval, or model integration)
  • Demonstrate a keen interest in improving your craft by using AI
  • Hands-on experience delivering production-grade systems that integrate data, APIs, and complex workflows

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