Poetiq Logo

Poetiq

AI Engineer

Reposted 24 Days Ago
In-Office
Los Altos, CA, USA
Mid level
In-Office
Los Altos, CA, USA
Mid level
Build a scalable platform around foundation models and LLMs, architecting multi-step, stateful workflows and high-performance infrastructure to manage asynchronous, parallel queries and enable autonomous research.
The summary above was generated by AI

As an AI Engineer, you will build a robust, scalable platform for our intelligence on top of foundation models. You will architect a complete system that surrounds the LLMs, managing the complex, multi-step interactions required to extract and synthesize information. You must be comfortable working in, and building, the high-performance infrastructure that makes our fast, self-improving reasoning possible.
You are a good fit if you:

  • Think and breathe Python. You are a Python engineer proficient in building complex, agentic systems or multi-step, stateful execution frameworks.

  • Work autonomously to develop both clearly defined and ambiguous ideas, including your own, into reality.

  • Excel at designing and building reliable, high-performance infrastructure that interacts heavily with external, third-party LLMs – some experimental, some large-scale and publicly deployed.

  • Can architect clean abstractions for complex workflows, specifically synthesizing fragmented information gathered over thousands of parallel, asynchronous queries.

  • Care deeply about code quality, performance profiling, and building the stable, scalable platform that allows research to run autonomously.

HQ

Poetiq Mountain View, California, USA Office

Mountain View, CA, United States

Similar Jobs

Yesterday
Hybrid
Palo Alto, CA, USA
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design and deliver generative AI and computer vision models and on-device inference for consumer AR experiences. Prototype research advances, optimize models (compression, quantization, distillation), collaborate across teams, and productionize scalable inference pipelines for mobile and wearable platforms.
Top Skills: ArComputer VisionCpu OptimizationDeep LearningDiffusion ModelsGenerative ModelingGpu OptimizationJaxMl Inference PipelinesMlxModel CompressionModel DistillationNeural NetworksNpu OptimizationPyTorchQuantizationScikit-LearnTensorFlow
Yesterday
Hybrid
Sunnyvale, CA, USA
160K-250K Annually
Senior level
160K-250K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Design and build automation tools, dashboards, and systems to deploy and manage cloud-based infrastructure. Collaborate with cross-functional teams to analyze requirements, implement reliable full-stack solutions (React front-end, Go back-end), improve CI/CD pipelines, and maintain production stability while meeting government background/clearance requirements.
Top Skills: Ci/CdCSSGitGoGraphQLHTMLJavaScriptReactRest
Yesterday
Hybrid
Sunnyvale, CA, USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Design and build automation tools, dashboards, and cloud-native production systems. Collaborate with cross-functional teams to implement reliable, secure solutions using React and Go, integrate REST/GraphQL APIs, maintain CI/CD pipelines, and leverage AI to improve operations and decision-making.
Top Skills: Ai TechnologiesCi/CdCloudCSSGitGoGraphQLHTMLJavaScriptReactRest

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