> Markdown version of [/jobs/ext/3017964-open-source-mlops-and-ai-agent-infrastructure](https://www.wearedevelopers.com/jobs/ext/3017964-open-source-mlops-and-ai-agent-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # open-source MLOps and AI agent infrastructure - **Company:** ONE STOP COLLECTIBLE CORP - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $160,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Customer Data Management, Github, Python (Programming Language), Open Source Technology, Mixpanel, AI Infrastructure, Large Language Models, Production Code, Machine Learning Operations - **Published:** September 20, 2026 - **Apply:** https://startup.jobs/developer-relations-engineer-clera-10129848 ## About the Role * 2+ years in DevRel, community building, growth, or developer-facing GTM, ideally at an early-stage or resource-constrained company rather than a large enterprise. * Demonstrated ability to design and run recurring community events (meetups, hackathons, conferences) with documented attendance growth and engagement metrics. * Track record of converting community or product activity into leads, partnerships, or other measurable business outcomes. * Proficiency with Python: able to demo a framework live, read production code, work with APIs, and troubleshoot in front of engineering audiences. * Hands-on experience with modern GTM tools, including CRM platforms, enrichment tools, automation workflows, and LLM-based outreach. * Experience integrating product usage signals, GitHub activity, and CRM data into automated lead-scoring and follow-up workflows. * Track record creating technical content (blog posts, demo videos, conference talks) that drives developer awareness and engagement. * Familiarity with open-source community dynamics, GitHub-native audiences, and contributor engagement strategies. * Existing network within the SF AI, ML infrastructure, or MLOps community and a visible personal or professional brand. * Self-directed and comfortable operating solo with minimal oversight, ideally with founder experience or a strong track record of building from zero. * Genuine interest in AI engineering, ML infrastructure, or agent-infrastructure ecosystems. * Based in San Francisco or fully committed to relocating; this role requires on-site presence. ## Description This is the founding US hire for an open-source MLOps and AI agent infrastructure company, reporting directly to leadership. You will own the entire San Francisco presence, sitting at the intersection of community building, technical evangelism, and growth-oriented GTM, turning community signals into pipeline and reputation into measurable outcomes., * Launch and grow a recurring SF meetup from scratch into a must-attend event for the ML infrastructure community. * Represent the company credibly and technically at AI infrastructure meetups, hackathons, and conferences across the Valley. * Build relationships across the SF AI/ML community, acting as a connector who turns conversations into lasting partnerships. * Create and distribute technical content including talks, blog posts, social posts, and demo videos grounded in real community observations. * Demo a Python framework live in front of engineering audiences, answer technical questions, and engage confidently without relying on slides. * Instrument community and product signals (using tools like Mixpanel, GitHub, CRM, and enrichment platforms) into automated workflows so every conversation becomes a traceable lead. * Feed market intelligence back to product and GTM teams: what people are building, what frustrates them, and who is evaluating what. ## Related Videos - [MLOps - What’s the deal behind it?](https://www.wearedevelopers.com/videos/392-mlops-what-s-the-deal-behind-it) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Designing the Future of Human<>Agent Collaboration](https://www.wearedevelopers.com/videos/1447-designing-the-future-of-human-agent-collaboration) - [MLOps and AI Driven Development](https://www.wearedevelopers.com/videos/347-mlops-and-ai-driven-development) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [A 5-Step Open-Source Setup for Agentic Engineering](https://www.wearedevelopers.com/magazine/738-a-5-step-open-source-setup-for-agentic-engineering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)