Solutions Engineer, AI/ML

Cake

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

Cake is on a mission to make cutting-edge AI accessible to every business. We remove complexity and cost barriers, empowering teams to adopt AI/ML faster and more easily. Our platform solves the entire AI infrastructure problem for customers 10x faster and 10x cheaper than alternatives.

Responsibilities

  • Work hands on with customers to deliver high quality production-ready AI and Software solutions
  • Drive exceptional customer success as reflected in successful implementations and high POC conversion rates, renewal rates, and customer satisfaction scores
  • Leverage deep technical expertise to support customers and troubleshoot complex issues
  • Work with the product team to prioritize the roadmap based on real customer feedback
  • Communicate findings to stakeholders in a clear and concise way

Requirements

  • 6+ years of experience in AI, Data Science, Machine Learning, and/or software engineering
  • 2+ years of experience developing AI Solutions, including modern Generative AI technologies, such as LLMs, Vector DBs, Agent frameworks, Tools, and MCP
  • Strong grasp of the full MLOps lifecycle, including data engineering, training/evaluation, serving, and monitoring
  • Experience with cloud platforms (AWS, GCP, Azure) and ideally Kubernetes
  • Strong programming skills in Python
  • Proven ability to manage multiple projects and customers simultaneously
  • Excellent communication, collaboration, and customer relationship management skills

Benefits

  • Competitive cash compensation
  • Top-tier fully covered medical, dental, and vision insurance
  • Life insurance
  • 401k program
  • Unlimited PTO
  • Monthly half day
  • Citi Bike membership
  • Monthly wellness stipend
  • Office equipment stipend

Skills & tools

PythonLLMMLOps

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 016+ years AI/ML/Software Engineering experience
  2. 022+ years Generative AI development
  3. 03MLOps lifecycle expertise
  4. 04Cloud platforms (AWS, GCP, Azure)
  5. 05Kubernetes
  6. 06Python
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