{"schemaVersion":"jobsearcher.job.v1","id":"e59e47abbdf34a379bc93897","url":"https://jobsearcher.com/jobs/e59e47abbdf34a379bc93897","canonicalUrl":"https://jobsearcher.com/jobs/e59e47abbdf34a379bc93897","title":"AI Developer","description":"Remote\nAbout CloudGeometry\nAt CloudGeometry, we build cloud-first, AI-driven solutions for some of the most demanding companies out there, from Silicon Valley startups to US Fortune 500 enterprises. We’re an AWS Advanced Consulting Partner, CNCF member, Kubernetes Certified Service Provider, and part of the Linux Foundation AI & Data working group.\nThis is an engineering-first company. People here care about what they build, how they build it, and how it scales. You won’t disappear into a project black hole. Expect real collaboration, real ownership, and yes, sometimes even input from the CEO.\nAbout the Role\nWe’re looking for an AI Developer to join a high-impact AdTech project and help build production-grade AI systems that actually do things, not just sit in notebooks looking impressive.\nYou’ll design, build, and deploy AI solutions powered by LLMs and modern ML systems, working closely with engineers, product teams, and stakeholders to deliver real business value. Expect hands-on work with multi-agent systems, LLM pipelines, and cloud-native AI infrastructure.\nWhat You’ll Do\nDesign and implement AI/ML models and LLM-based systems for production use\nBuild and optimize workflows using LangChain and LangGraph\nDevelop and deploy scalable AI solutions in cloud environments\nWork with stakeholders to translate business needs into AI-driven features\nIntegrate NLP and LLM capabilities into user-facing applications\nPrototype rapidly and iterate based on real-world feedback\nMonitor, debug, and improve model performance in production\nContribute to code reviews, documentation, and knowledge sharing\nStay current with advancements in AI, LLMs, and agent-based systems\nMust-Have Skills\nStrong Python skills and solid ML fundamentals\nExperience with Databricks (PySpark, Notebooks, Unity Catalog)\nHands-on experience with LangChain and LangGraph\nExperience with MLflow (training, tracking, deployment)\nGood SQL knowledge (MySQL / Databricks SQL)\nExperience building and deploying LLM-powered applications\nUnderstanding of LLM guardrails, multi-agent systems, and AI workflows\nExperience working with cloud-based AI systems\nStrong problem-solving and analytical skills\nEnglish level: B2–C1\nNice-to-Have\nExperience evaluating or fine-tuning LLMs (Llama, GPT, Gemini)\nFamiliarity with RAG pipelines, vector databases, or mixed-model architectures\nExperience with AI assistants, NLQ systems, or AdTech/Marketing analytics\nKnowledge of MLOps, CI/CD, and GitHub workflows\nExperience with Kubernetes, serverless, or cloud platforms (AWS/Azure)\nFamiliarity with NestJS, Prisma, or backend integrations\nExperience reducing AI/ML technical debt or working with AI copilots in IDEs\nWho You Are\nProactive and fast-learning, not waiting to be told obvious things\nDetail-oriented but still able to see the bigger picture\nComfortable working independently in a distributed team\nGenuinely interested in AI, not just chasing hype\nSomeone who shares knowledge and contributes to engineering culture\nWhat We Offer\nWork on modern AI products with global experts\nCompetitive compensation in USD (B2B or employment)\nRemote-first setup with flexible working hours\nPaid leave, sick days, and holidays\nWorkspace budget ($2500) + software coverage\nPaid certifications (AWS, Kubernetes, ML, etc.)\nEnglish lessons and continuous learning support\nAccess to international conferences (CNCF, KubeCon, etc.)\nEngineering-driven culture with minimal bureaucracy\nWhy Join Us\nWe’re building serious AI systems, not demo projects. If you like working on real-world problems, shipping production code, and being surrounded by people who actually know what they’re doing, you’ll fit right in.\n‍\nSubmit Resume\nSend us an application to jobs@cloudgeometry.com, and we’ll contact you in shortly.","company":"Cloudgeometry","rawCompany":"cloudgeometry","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-05T11:55:28.159Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Developer","description":"Remote\nAbout CloudGeometry\nAt CloudGeometry, we build cloud-first, AI-driven solutions for some of the most demanding companies out there, from Silicon Valley startups to US Fortune 500 enterprises. We’re an AWS Advanced Consulting Partner, CNCF member, Kubernetes Certified Service Provider, and part of the Linux Foundation AI & Data working group.\nThis is an engineering-first company. People here care about what they build, how they build it, and how it scales. You won’t disappear into a project black hole. Expect real collaboration, real ownership, and yes, sometimes even input from the CEO.\nAbout the Role\nWe’re looking for an AI Developer to join a high-impact AdTech project and help build production-grade AI systems that actually do things, not just sit in notebooks looking impressive.\nYou’ll design, build, and deploy AI solutions powered by LLMs and modern ML systems, working closely with engineers, product teams, and stakeholders to deliver real business value. Expect hands-on work with multi-agent systems, LLM pipelines, and cloud-native AI infrastructure.\nWhat You’ll Do\nDesign and implement AI/ML models and LLM-based systems for production use\nBuild and optimize workflows using LangChain and LangGraph\nDevelop and deploy scalable AI solutions in cloud environments\nWork with stakeholders to translate business needs into AI-driven features\nIntegrate NLP and LLM capabilities into user-facing applications\nPrototype rapidly and iterate based on real-world feedback\nMonitor, debug, and improve model performance in production\nContribute to code reviews, documentation, and knowledge sharing\nStay current with advancements in AI, LLMs, and agent-based systems\nMust-Have Skills\nStrong Python skills and solid ML fundamentals\nExperience with Databricks (PySpark, Notebooks, Unity Catalog)\nHands-on experience with LangChain and LangGraph\nExperience with MLflow (training, tracking, deployment)\nGood SQL knowledge (MySQL / Databricks SQL)\nExperience building and deploying LLM-powered applications\nUnderstanding of LLM guardrails, multi-agent systems, and AI workflows\nExperience working with cloud-based AI systems\nStrong problem-solving and analytical skills\nEnglish level: B2–C1\nNice-to-Have\nExperience evaluating or fine-tuning LLMs (Llama, GPT, Gemini)\nFamiliarity with RAG pipelines, vector databases, or mixed-model architectures\nExperience with AI assistants, NLQ systems, or AdTech/Marketing analytics\nKnowledge of MLOps, CI/CD, and GitHub workflows\nExperience with Kubernetes, serverless, or cloud platforms (AWS/Azure)\nFamiliarity with NestJS, Prisma, or backend integrations\nExperience reducing AI/ML technical debt or working with AI copilots in IDEs\nWho You Are\nProactive and fast-learning, not waiting to be told obvious things\nDetail-oriented but still able to see the bigger picture\nComfortable working independently in a distributed team\nGenuinely interested in AI, not just chasing hype\nSomeone who shares knowledge and contributes to engineering culture\nWhat We Offer\nWork on modern AI products with global experts\nCompetitive compensation in USD (B2B or employment)\nRemote-first setup with flexible working hours\nPaid leave, sick days, and holidays\nWorkspace budget ($2500) + software coverage\nPaid certifications (AWS, Kubernetes, ML, etc.)\nEnglish lessons and continuous learning support\nAccess to international conferences (CNCF, KubeCon, etc.)\nEngineering-driven culture with minimal bureaucracy\nWhy Join Us\nWe’re building serious AI systems, not demo projects. If you like working on real-world problems, shipping production code, and being surrounded by people who actually know what they’re doing, you’ll fit right in.\n‍\nSubmit Resume\nSend us an application to jobs@cloudgeometry.com, and we’ll contact you in shortly.","datePosted":"2026-08-05T11:55:28.159Z","dateModified":"2026-08-05T11:55:28.159Z","hiringOrganization":{"@type":"Organization","name":"Cloudgeometry","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e59e47abbdf34a379bc93897"},"url":"https://jobsearcher.com/jobs/e59e47abbdf34a379bc93897"}}