Senior CX Platform Engineer
New
J
JobgetherAI software
Based in CanadaFull-TimeSenior
SalaryBase salary range of $139,200–$235,200 USD
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Job Details
- Required Skills
- AWSDockerPythonTypeScriptFastAPIRESTful APIsTerraformLLM
Requirements
- Demonstrated experience building and operating production software, including owning substantial projects from ambiguous requirements through deployment and ongoing operation.
- Hands-on professional experience using coding agents such as Claude Code, Cursor, Codex, GitLab Duo, or comparable AI development tools in production engineering workflows.
- Practical experience building with large language models, including tool use, MCP servers, agent loops, retrieval and context design, prompt engineering, workflow orchestration, and AI evaluations.
- Strong Python skills with FastAPI, Flask, or comparable frameworks, alongside TypeScript experience with Vue, React, or similar frontend technologies.
- Experience designing APIs, authentication and authorization mechanisms, and secure systems for customer and business data.
- Hands-on experience with AWS services such as ECS, RDS, and Lambda, as well as Terraform, Docker, and applications behind SSO platforms such as Okta.
- Experience integrating enterprise systems through REST and GraphQL APIs.
- Strong understanding of Git-based development workflows, merge requests, automated testing, and CI/CD practices.
- Ability to translate complex workflows from non-engineering stakeholders into technical plans and scalable platform solutions.
- Experience writing design documents, architecture decisions, technical documentation, and enablement materials.
- Ability to balance rapid experimentation with production reliability, security, observability, maintainability, and long-term ownership.
Responsibilities
- Build and operate production-grade agentic applications and multi-step AI workflows for customer experience processes.
- Develop and maintain MCP servers and secure connectors for enterprise platforms and data sources.
- Build and evolve the agent development harness, including shared conventions, reusable skills, and CI checks.
- Establish evaluations, tracing, observability, and human-in-the-loop controls for AI systems.
- Develop and maintain the application platform, including AWS infrastructure, Terraform configuration, deployment processes, applications, and integrations.
- Deliver production-quality Python and TypeScript applications with testing, CI/CD, monitoring, security controls, documentation, and runbooks.
- Partner with Customer Success, Digital Success, Professional Services, Education Services, and Training teams to prototype and productionize solutions.
- Translate stakeholder feedback into reusable technical patterns, reference implementations, development paths, and enablement materials.
- Mentor engineers and non-engineering stakeholders on agentic development practices and contribute to platform and product improvements.
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