Remote Senior CX Platform Engineer - AI-Powered Workflows

Jobgether SRL; United States; Remote; USD 139,000 - 235,000; Full time

Benefits offered by this job

Equity compensation

Employee stock purchase plan

Flexible paid time off

Parental leave

Wellness-focused support

Development funding

Inclusive environment

Remote-friendly

Job summary

Jobgether SRL in the United States seeks a senior software engineer to design, build, and operate AI-powered workflows across customer success teams. You will own production Python/TypeScript apps, integrate with enterprise platforms, and improve security, observability, and maintainability in large-scale systems.

Collaborate with non-engineering stakeholders to translate workflows into scalable platform solutions, mentor peers, and help shape engineering standards for production AI systems.

Qualifications

• Production software ownership from requirements to deployment.
• Hands-on use of coding agents in production workflows.
• Experience with LLMs beyond chat interfaces and tool use.
• Strong Python and TypeScript development skills with modern frameworks.
• Designing secure APIs, authentication, and data handling.

Responsibilities

• Build and operate agentic applications and multi-step AI workflows.
• Develop MCP servers and secure connectors to enterprise systems.
• Apply AI development tools in planning, testing, and release cycles.
• Evolve agent development harness with CI checks and conventions.
• Establish observability, governance, and security for AI systems.

Skills

Python

FastAPI/Flask

TypeScript

Vue/React

AWS

Terraform

Docker

REST/GraphQL

CI/CD

Git workflows

Agentic AI

Tools

Claude Code

Cursor

Codex

GitLab Duo

Job description

Jobgether SRL in the United States seeks a senior software engineer to design, build, and operate AI-powered workflows across customer success teams. You will own production Python/TypeScript apps, integrate with enterprise platforms, and improve security, observability, and maintainability in large-scale systems.

Collaborate with non-engineering stakeholders to translate workflows into scalable platform solutions, mentor peers, and help shape engineering standards for production AI systems.