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.

Distinguished Engineer, Agentic Sdlc & Non‑linear Productivity at GitLab

Distinguished Engineer, Agentic Sdlc & Non‑linear Productivity

GitLab

Remote, US

Base: $260,000 - $345,000 usd; bonus/equity: not s...

Remote

10+ years software engineering experience

4+ years staff or principal leadership role

Deep expertise in ai and ml systems

GitLab is seeking a Distinguished Engineer to lead the development of autonomous, agentic software development lifecycle (SDLC) capabilities. This remote position requires extensive experience in AI and machine learning, as well as a strong background in scalable distributed systems

Job Summary

This role involves pioneering and scaling autonomous, agentic SDLC capabilities to drive 10x step changes in developer productivity.
The successful candidate will act as a bridge between Architecture, Product, Infrastructure, and Data teams to validate AI agent workflows in production-adjacent environments.
GitLab embraces AI as a core productivity multiplier, expecting all team members to incorporate it into daily workflows to accelerate innovation and impact.

Matching Summary

Match Score: 85

Salary

Base: $260,000 - $345,000 USD; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

10+ years software engineering experience
4+ years Staff or Principal leadership role
Deep expertise in AI and ML systems
Agentic frameworks and autonomous workflow design
Production-scale distributed systems architecture
Human-in-the-loop controls and safety guardrails

Nice-to-have

Familiarity with GitLab DevSecOps platform
Experience mentoring senior engineers
Strong asynchronous communication skills
Remote global organization experience
Open source community representation

Distinguished Engineer, Agentic Sdlc & Non‑linear Productivity

GitLab

Job Summary

Matching Summary

Salary

Skills & Requirements

Key Requirements

Work Rights

Tailored Resume

Cover Letter