Applied AI Engineer

daydream Labs, Inc

$180K — $220K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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

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#

Benefits

  • Health coverage includes medical, dental, and vision with HSA and FSA options
  • 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)
Full Job Description
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 iteration-and see your work directly drive customer outcomes.

In this role, you will:
  • 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


Minimum Qualifications
  • 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


Preferred Qualifications
  • 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


Position Location

This role is based in San Francisco and requires in-person collaboration five (5) days per week. We offer paid relocation for candidates outside the San Francisco Bay Area.

Compensation

The base salary range for this role is $180,000-$220,000, depending on experience, along with meaningful equity.

What you\'ll love
  • 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)

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