This is a remote position.
Innosphere is seeking a Senior AI Platform Developer to join our team on a 3-month basis. In this role, you will provide senior-level hands-on engineering support for an existing internal audit and code-modification platform. The role is focused on system maintenance, operational improvements, GitLab pipeline execution, LLM/agentic workflow support, telemetry, logging, run management, and improving the developer experience for reviewing generated merge requests. This is not a re-architecture role; the ideal candidate can quickly execute against an existing backlog, support engineering teams, and improve reliability, visibility, and usability of the current system.
Roles & Responsibilities
- Maintain and enhance an existing internal audit and code-modification platform.
- Support, troubleshoot, and optimize GitLab CI/CD pipelines, merge request workflows, and pipeline execution processes.
- Improve operational reliability, system performance, and platform stability through targeted enhancements.
- Support LLM-driven and agentic workflows, including prompt execution, input/output validation, and deterministic processing patterns.
- Implement and improve observability capabilities, including logging, telemetry, run tracking, debugging, and operational visibility.
- Enhance developer experience for reviewing automated code changes, generated merge requests, and codemod outputs.
- Assist engineering teams with platform usage, issue resolution, and workflow improvements.
- Execute backlog items independently while working within the existing architecture and technical framework.
- Collaborate with stakeholders to translate business and engineering requirements into practical platform improvements.
- Review and improve generated code changes and automated remediation outputs to ensure quality and reliability.
Qualifications:
- Bachelor's degree in Computer Science or related program and/or relevant experience.
- 5+ years of backend, platform, or infrastructure engineering experience.
- Strong expertise with GitLab CI/CD pipelines, merge request workflows, and pipeline troubleshooting.
- Experience working with LLM-based, prompt-driven, or agentic systems in production environments.
- Strong understanding of observability practices, including logging, telemetry, monitoring, debugging, and operational analytics.
- Experience supporting internal developer platforms, engineering tools, or shared services used across multiple teams.
- Demonstrated ability to independently deliver tactical improvements within an established system architecture.
- Experience reviewing and improving automated code modifications, codemods, or generated merge requests.
- Strong communication and stakeholder management skills, with the ability to support internal engineering customers effectively.
Nice-to-Have:
- Experience building or maintaining developer experience tooling related to code reviews, audits, compliance, or automated remediation.
- Familiarity with GitHub or GitLab extensions, repository auditing tools, or large-scale source code analysis platforms.
- Experience with codemod frameworks and automated code transformation across large codebases.
- Knowledge of LLM token optimization, cost management, usage tracking, and per-job reporting.
- Familiarity with Model Context Protocol (MCP), agent gateways, orchestration frameworks, or similar AI infrastructure patterns.
- Experience supporting centralized engineering platforms serving multiple product or development teams.
Innosphere welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates participating in all stages of the selection process.
Please note that only applicants selected for shortlisting will be contacted. All successful candidates are subject to criminal, educational, and employment background checks. Applicants must currently reside in Canada and be legally authorized to work in Canada.
At Innosphere, we value transparency throughout our hiring process. We use Applicant Tracking Systems (ATS) and AI-assisted tools to support application management and recruitment workflows. Every application is reviewed fairly, and all final hiring decisions are made by our hiring team.
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