Applied AI Engineer

About the Company

Sunbeam is building a fully autonomous SEO agent that plans, writes, and ships work end-to-end. Born from daydream, an AI-native SEO agency serving companies like Anthropic, Clay, and Replit, sunbeam is solving one of the hardest problems in applied AI: creating agents that reliably execute work and drive real customer outcomes. The company has raised over $20M from top-tier investors including First Round Capital, Basis Set Ventures, and WndrCo, and is backed by leaders from Notion, Airtable, Webflow, and Dropbox.

About the Role

As an Applied AI Engineer at sunbeam in San Francisco, you'll help build the core intelligence powering the autonomous SEO agent that drives the company's operating model. This is an opportunity to work on production-grade AI systems that translate expert SEO judgment into scalable workflows—owning problems end-to-end from design through deployment and seeing your work directly impact customer growth. You'll collaborate with a small, highly capable team of engineers and designers, working primarily with LLMs, Python, TypeScript, and Google Cloud infrastructure. This is a full-time, in-person role based in San Francisco requiring five days per week on-site.

Responsibilities

• Design, build, and operate LLM-driven systems that prioritize and execute SEO work
• Encode human expertise into structured, repeatable AI workflows that plan, generate, and drive continuous execution
• Architect and optimize complex LLM pipelines for accuracy, reliability, and cost effectiveness
• Build evaluation frameworks that measure quality and real-world performance of AI systems
• Collaborate closely with engineers, designers, and Growth Leads to integrate AI into production execution
• Ship quickly and iterate based on feedback from production usage
• Work across LLM-driven systems, data pipelines, and AI-enabled services using Python, TypeScript, and C# deployed on Google Cloud

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 Have

• 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

Benefits & Perks

• Competitive base salary of $180,000–$220,000 depending on experience, plus meaningful equity
• Comprehensive health coverage including medical, dental, and vision with HSA and FSA options, plus One Medical, Talkspace, and Teladoc
• Monthly commuter benefit reimbursement to support your commute to the San Francisco office
• Meals on us: lunch reimbursement on in-office days and dinner covered when working late
• Annual stipend for gym, fitness classes, therapy, and wellness expenses
• Annual learning and development stipend for books, courses, and classes
• Two company retreats per year for team building and connection
• Paid relocation assistance for candidates outside the San Francisco Bay Area

sunbeam is building a fully autonomous SEO agent that plans, writes, and ships work end-to-end. The company was built inside daydream, an AI-native SEO agency that runs SEO for companies like Anthropic, Clay, and Replit, and has raised over $20M from top-tier investors.