sunbeam
AI-native SEO agency
AppliedAIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Applied AI Engineer at sunbeam. Skills: Applied AI, LLM-driven systems, NLP, production AI/ML systems, end-to-end system ownership. Design, build, and operate LLM-driven systems that prioritize and drive SEO work. Encode human expertise into structured, repeatable AI workflows”
What You'll Achieve.
own outcomes that real customers can stake their growth on; see your work directly drive customer outcomes
Industry & Context.
reasoning over long horizons; executing reliably across systems; owning outcomes that real customers can stake their growth on; Comfort operating in ambiguous problem spaces and making sound technical tradeoffs
requires in-person collaboration five (5) days per week, paid relocation for candidates outside the San Francisco Bay Area
What They're Looking For.
Must Have
experience building production AI or machine learning systems, Hands-on experience working with LLMs beyond basic API usage, Solid understanding of NLP concepts such as embeddings, retrieval, and generation, Experience owning systems end-to-end, including design, implementation, and iteration, Comfort operating in ambiguous problem spaces and making sound technical tradeoffs
Nice to Have
Deep expertise in NLP or applied machine learning, mental models of transformer-based architectures and modern language models, Experience designing evaluation methodologies for AI systems, Familiarity with probabilistic modeling, algorithms, or statistical inference, Experience translating domain expertise into scalable software systems, A high bar for correctness, reliability, and operational quality
What You'll Do.
and operate LLM-driven systems that prioritize and drive SEO work
Encode human expertise into structured
repeatable AI workflows
Architect and optimize complex LLM pipelines for accuracy
Build evaluation frameworks that measure quality and real-world performance
Collaborate closely with engineers
and Growth Leads to integrate AI into execution
then iterate based on feedback from production usage
Work primarily across LLM-driven systems
and AI-enabled services
How You'll Work.
Team & Collaboration
Collaborate closely with engineers, designers, and Growth Leads to integrate AI into execution
Process & Methodology
owning problems end-to-end—from framing and design through deployment and iteration
Full Job Description
ABOUT SUNBEAM sunbeam https://withsunbeam.com is building a fully autonomous SEO agent that plans, writes, and ships work end-to-end. An agent that ships work is one of the harder problems in applied AI right now. It requires reasoning over long horizons, executing reliably across systems, and owning outcomes that real customers can stake their growth on. We believe getting this right is a game-changer for how SEO gets done. sunbeam was built inside daydream https://www.withdaydream.com/, an AI-native SEO agency that runs SEO end-to-end for companies like Anthropic, Clay, and Replit. We are distilling what daydream learned doing the work into an autonomous agent that does the work on its own. We've raised over $20M from First Round Capital, Basis Set Ventures, WndrCo, and SOMA Capital, and are backed by leaders from Notion, Airtable, Webflow, and Dropbox, including Lenny Rachitsky and Eli Schwartz, author of Product-Led SEO. THE TEAM You'll work closely with a small, highly capable team across engineering and design: - Shravan (CTO), formerly an Engineering Lead at Flixed and a Software Engineer at Facebook, where he worked on mass-scale web scraping for Facebook Jobs and Meta Reality Labs. - Vishruth (Founding Applied AI Engineer), previously a Data Scientist at Klaviyo specializing in NLP, with a research background from Cornell. - Daniel (Founding Applied AI Engineer), formerly a Data Engineer on Tesla's Autopilot team and previously Lead Data Engineer at Replit. - Tom (Founding Designer), who previously led product design at Blockless and now leads our frontend efforts. HOW YOU’LL MAKE AN IMPACT As an Applied AI Engineer at sunbeam, you’ll help build the core intelligence behind the SEO agent that powers our operating model. You’ll work on systems that translate expert SEO judgment into production-grade AI workflows that plan work, generate materials, and drive continuous execution. You’ll own problems end-to-end—from framing and design through deployment and it
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