Applied AI Engineer

daydream • San Francisco, CA

1d • Onsite

About The Position

sunbeam 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, 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.

Requirements

• Strong 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 Haves

• Deep expertise in NLP or applied machine learning
• Strong 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

Responsibilities

• Design, build, 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, reliability, and cost
• Build evaluation frameworks that measure quality and real-world performance
• Collaborate closely with engineers, designers, and Growth Leads to integrate AI into execution
• Ship quickly, then iterate based on feedback from production usage
• Work primarily across LLM-driven systems, data pipelines, and AI-enabled services, using Python, TypeScript, and C#, deployed on Google Cloud with modern foundation models

Benefits

• Health coverage includes medical, dental, and vision with HSA and FSA options, plus One Medical, Talkspace, and Teladoc
• Commuter benefit includes a monthly reimbursement to support your commute to the office
• Meals on us include lunch reimbursement on in-office days, with dinner covered when you’re working late
• Personal well-being includes an annual stipend for gym, fitness classes, therapy, and wellness expenses
• Learning and development includes an annual stipend for books, courses, and classes to support your growth
• Team retreats include two company retreats per year to connect, collaborate, and reset
• Monthly team time includes regular dinners and outings to spend time together
• Dog-friendly office (we have corgis)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed