Added
12 minutes ago
Type
Full time
Salary
Salary not provided

Related skills

react python typescript llms openai

๐Ÿ“‹ Description

  • Design, develop, and ship AI-driven capabilities using Python, TypeScript, React, Canvas, WebGL.
  • Engineer AI workflows using LLMs (OpenAI, Anthropic Claude, Google Gemini) and prompts.
  • Execute end-to-end AI projects from concept to production, collaborating with product and design.
  • Experiment and iterate on AI capabilities, staying ahead of tools and techniques.
  • Champion AI best practices: evals, LLMOps, CI/CD, observability, and ethics.
  • Measure and optimize AI performance; set benchmarks for engagement, accuracy, latency.
  • Write clean, well-tested code; participate in code reviews and technical discussions.
  • Troubleshoot production issues to ensure high availability and performance.

๐ŸŽฏ Requirements

  • 3+ years of professional experience delivering AI-first capabilities in customer-facing products.
  • Excellent communication skills, able to translate complex technical concepts for non-technical stakeholders.
  • Strong Python skills and familiarity with FE technologies (TypeScript, React).
  • Expertise in prompt engineering and context engineering with top-tier LLMs (OpenAI GPT, Anthropic Claude, Google Gemini).
  • Ability to develop high-quality, production-ready code within complex codebases.
  • Experience with LLM evaluation frameworks and building evals that inform model selection or feature quality.
  • Solid understanding of ML fundamentals, including probabilistic modeling and neural networks.
  • Experience with LLMOps and cloud services (AWS, Azure, etc.).
  • AI-First Proficiency: integrating AI into development workflows and shipping features rapidly.
  • Nice-to-have: Rendering technologies like WebGL, Canvas, or 2D libraries (PixiJS, Skia).
  • Nice-to-have: Real-time technologies (WebSocket).
  • Nice-to-have: Vector databases, RAG pipelines, LangChain, or agent frameworks.
  • Nice-to-have: Multi-modal AI or long-context handling; ML frameworks like PyTorch, TensorFlow, Transformers.

๐ŸŽ Benefits

  • Equity in a global benefits package.
  • WFH equipment allowance.
  • Annual Learning & Development stipend.
  • Diverse, inclusive team culture.
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