Workopia is a free MCP server that provides AI-powered job search, resume building, and career advice. It works with Claude Desktop, ChatGPT, OpenClaw, Cursor, and any MCP-compatible AI assistant. Jobs are sourced directly from employer career pages, not scraped from job boards.

How do I add Workopia to Claude Desktop?

Open Claude Desktop, go to Settings, then MCP Servers, and click Add Server. Enter the URL: https://workopia.io/api/mcp-gpt. No API key is needed. You can then search jobs, build resumes, and get career advice directly in your Claude conversations.

Yes, Workopia is completely free to use. No subscription, no payment, and no login required. Job search and career advice are unlimited. Resume generation is rate-limited to 20 per hour per user to prevent abuse.

Where does Workopia get its job data?

Workopia sources jobs directly from employer career pages and ATS feeds such as Lever. It does not scrape LinkedIn, Indeed, SEEK, or other job boards. Every job listing links to the official employer posting.

Does Workopia store my resume?

No. Resume content submitted via MCP is processed in-memory for PDF generation and discarded after the response. No copies are saved server-side. Workopia does not store conversation history, personal information, or user identity from MCP interactions.

What AI platforms does Workopia work with?

Workopia works with any MCP-compatible AI client, including Claude Desktop, Claude Code, ChatGPT, OpenClaw (which supports Slack, Discord, WhatsApp, Telegram, and more), Cursor, Windsurf, and JetBrains IDEs. Just add the endpoint URL: https://workopia.io/api/mcp-gpt.

Senior Backend Engineer (ai), Pipeline Execution at GitLab

Senior Backend Engineer (ai), Pipeline Execution

GitLab

Remote

Not specified; not specified; benefits include fle...

Remote

Strong ruby on rails backend experience

In-depth production ai-powered feature experience

Data-driven observability and monitoring approach

GitLab is seeking a Senior Backend Engineer (AI) to enhance its CI/CD workflows by integrating AI capabilities. The role focuses on designing and building backend features, improving performance, and ensuring reliability for millions of CI jobs

Job Summary

This role focuses on shaping the core infrastructure behind GitLab CI by integrating AI into CI/CD workflows to improve performance and reliability.
The team is tasked with building agentic CI experiences, including an AI Pipeline Builder and automated failure resolution flows at enterprise scale.
GitLab offers a remote-first culture with flexible paid time off, equity compensation, and a dedicated growth and development fund for employees.

Matching Summary

Match Score: 85

Salary

Not specified; Not specified; Benefits include flexible PTO, equity, and home office support

Skills & Requirements

Must-have

Strong Ruby on Rails backend experience
In-depth production AI-powered feature experience
Data-driven observability and monitoring approach
High-traffic production system debugging skills

Nice-to-have

Experience with AI agents or agentic frameworks
Strong PostgreSQL scaling and query tuning skills
Remote async collaboration and mentoring mindset

Key Requirements

Senior level experience in large production codebases
Proven track record of operating AI features in production
Ability to mentor others and raise engineering standards

Work Rights

Not specified