Magic Patterns Logo

Magic Patterns

Applied AI Engineer

Posted 2 Months Ago
In-Office
San Francisco, CA, USA
Entry level
In-Office
San Francisco, CA, USA
Entry level
Own the evaluation system powering a self-improving AI agent loop, advance AI-generated design quality, and develop novel solutions to improve agent performance. The role involves collaborating with product teams, defining priorities, and solving open-ended problems involving AI models, agents, post-training, and context engineering. Candidates should use AI tools regularly, understand AI models or agents, and be strong first-principles thinkers.
The summary above was generated by AI

Hey, I’m Teddy, CTO & co-founder at Magic Patterns! Our engineering team has grown a lot over the last few months here in San Francisco.

 

About Magic Patterns
Our mission is to let anyone build delightful software. We're a lean team where everyone contributes directly to the product.

If you’re an AI engineer, our roadmap is probably a goldmine of things you’ve always wanted to work on:

  • An AI agent that thousands of users use religiously everyday

  • Evals with a self-improving agent loop

  • Context engineering

  • Post-training on design output

The most common piece of feedback we get is "I tried a bunch of tools but your design quality output is by far the best." We want to push the limits even further.

 

About this role

  • Own our eval system that feeds into our self-improving agent loop

  • Push and define the limits of what AI can do in design. Today, we are state of the art, and we want to continue to push that.

  • Collaborate with the product team to bring novel solutions to improve agent quality from the perspective of our users

  • Decide what to work on to improve our AI Design agent. The list above are open problems, not assignments

     

This role might be a fit if you...

  • Use AI tools in your daily workflow

  • Have experience with AI models and/or have worked on an AI agent before

  • Have experience building eval systems, post-training, context engineering

  • Strong first-principles thinker that can distill complex problems

     

Our Values

  1. Obsessive — we love exploring every corner of the hardest problems.

  2. Growth-minded — where you are today matters less than how fast you are growing

  3. Ownership — insist on high standards and craftsmanship.

  4. Spread the magic — for many people, Magic Patterns is “magic.” Be proud of your work and have fun!

     

Compensation and benefits:

  • Rapid career growth at one of the fastest growing Series A companies

  • Competitive salary and equity package

  • 20 days off PTO

  • Health, dental, and vision coverage

  • Fun team offsites and events — we went to Mexico last year!

HQ

Magic Patterns San Francisco, California, USA Office

San Francisco, CA, United States, 94110

Similar Jobs

9 Days Ago
Easy Apply
Remote or Hybrid
Santa Clara, CA, USA
Easy Apply
180K-225K Annually
Senior level
180K-225K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Build and deploy secure, production-grade AI solutions for go-to-market teams using retrieval, structured-data querying, and agentic workflows. Partner with GTM leaders to define AI strategy, roadmaps, and build-versus-buy decisions. Establish monitoring, evaluation, security, and ROI frameworks tied to revenue outcomes. Drive adoption through enablement and feedback loops, develop reusable AI architecture and data connectors, improve engineering standards, and mentor other engineers.
Top Skills: A/B TestingAgent-To-Agent (A2A) FrameworksAgentic WorkflowsCloud PlatformsGraphragKnowledge GraphsLlm-As-JudgeModel Context Protocol (Mcp)PythonRegression TestingRetrieval-Augmented Generation (Rag)
15 Days Ago
Hybrid
San Francisco, CA, USA
157K-252K Annually
Senior level
157K-252K Annually
Senior level
Security • Software • Cybersecurity • Automation
Lead applied AI research focused on information retrieval, RAG, agentic workflows, ranking, reasoning, and evaluation. Build prototypes, golden datasets, quality metrics, regression detection, and experimentation frameworks; investigate failure modes and validate improvements through rigorous testing. Collaborate with AI and software engineers to productionize successful approaches and stay current with research in RAG, agents, LLM evaluation, and relevance modeling.
Top Skills: A/B TestingCross-EncodersEmbedding ModelsGenerative AiGraph Link PredictionHybrid SearchInformation RetrievalKnowledge GraphsLearning-To-RankLlm RerankersMachine LearningNlpPythonRagSemantic RoutingVector Databases
22 Days Ago
Hybrid
5 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads global teams developing production AI, GenAI, RAG, agentic workflow, and MLOps solutions for health systems and health plans. Translates clinical, financial, and operational challenges into HIPAA-compliant use cases involving clinical decision support, population health, revenue cycle, research, and optimization. Oversees healthcare data science engagements, model governance, executive stakeholder communications, client delivery, and team development.
Top Skills: Anthropic ClaudeAws BedrockAws SagemakerAzure Health Data ServicesAzure Machine LearningAzure Openai ServiceChromaCi/CdDatabricksGitGoogle Vertex AiKerasLangchainLlamaindexMlopsNoSQLPandasPineconePythonRagScikit-LearnSemantic KernelSnowflakeSQLTransformers

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