Cake (cake.ai) Logo

Cake (cake.ai)

Solutions Engineer, AI/ML

Posted Yesterday
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
Partner with customers to design and deliver production-ready AI/ML solutions, drive POC-to-production success, troubleshoot technical issues, inform product roadmap with customer feedback, and communicate outcomes to stakeholders.
The summary above was generated by AI

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. Backed by top investors, including Google’s Gradient Ventures and Primary Venture. Partners, Cake solves the entire AI infrastructure problem for customers 10x faster and 10x cheaper than alternatives.

Our platform comprises four layers: compute infrastructure management, open-source components, common integrations, and pre-built recipes. 

Security and monitoring are built-in, ensuring a smooth path to production. This approach resonates strongly across mid-market enterprises, and we’re poised for significant growth in the coming year.

Intensity, humility, and collaboration are the cornerstones of our culture. We’re a dynamic team of forward-thinking technologists who love to learn from each other and push the boundaries of AI at an incredibly fast pace. If you’re excited about reshaping the future of AI, we’d love to hear from you.

What You’ll Do

  • 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

Additional Perks

  • Unlimited PTO
  • Monthly half day
  • Citi Bike membership
  • Monthly wellness stipend
  • Office equipment stipend, including reimbursement for approved disability-related accommodations
  • Investment in employee learning and growth opportunities

Cake is committed to providing equal employment opportunities to all employees and job seekers regardless of race, color, religion, national origin, sexual orientation, gender, gender identity, marital status, disability, veteran status, or any other legally protected category. As an equal opportunities employer, we value diversity and its positive impact on our culture. 

Cake also complies with the Americans with Disabilities Act (ADA). We are dedicated to working with and providing reasonable accommodation to job applicants with physical or mental disabilities. If you require accommodation, please email us at [email protected] and we will promptly address your request. 

Similar Jobs

9 Days Ago
Remote
USA
Mid level
Mid level
Artificial Intelligence • Cloud • Machine Learning
The R&D Engineer will build and refine software solutions for defense use cases, prototype systems, and convert stakeholder feedback into technical requirements. Collaboration with engineering teams and customer-oriented engagements are key responsibilities.
Top Skills: AWSCi/CdDockerFastapiGoHelmJavaScriptKubernetesPostgresPythonReactTerraformTypescript
9 Days Ago
Remote
US
Senior level
Senior level
Artificial Intelligence • Machine Learning • Analytics
The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.
Top Skills: AIAnalyticsApi IntegrationsCanvaComputer VisionData IngestionHubspotMicrosoft Office SuiteMlPythonVBA
19 Minutes Ago
Remote or Hybrid
Mid level
Mid level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Lead client engagements focusing on financial reporting and operational recommendations for manufacturing clients, while mentoring staff and enhancing service delivery.
Top Skills: FishbowlKatanaMS OfficeNetSuiteQuickbooks Online

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account