Senior CX Platform Engineer
New
J
JobgetherAI software
Based in United StatesFull-TimeSenior
Salary$139,200–$235,200 USD
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Job Details
- Required Skills
- AWSDockerGraphQLPythonTypeScriptFastAPIRESTful 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 development skills with FastAPI, Flask, or comparable frameworks, and 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 operating 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.
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.
- Evolve the agent development harness, including shared conventions, reusable skills, commands, hooks, subagents, and CI checks.
- Establish evaluations, tracing, observability, and human-in-the-loop controls for AI systems.
- Develop and maintain AWS infrastructure, gateway capabilities, Terraform configuration, deployment processes, applications, and integrations.
- Deliver Python and TypeScript applications with testing, CI/CD, monitoring, security controls, documentation, and operational runbooks.
- Partner with Customer Success and related teams to prototype solutions and bring applications into production.
- 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 engineering standards.
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