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Member of Technical Staff

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: kadence
Full Time position
Listed on 2026-06-24
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
  • Design and build production-grade AI systems that leverage LLMs, agent frameworks, retrieval systems, and external tools.
  • Develop intelligent workflows that provide users with actionable insights and recommendations, not just chatbot-style interactions.
  • Help shape the evolution of AI-native product experiences across multiple surfaces, including web applications, APIs, developer tooling, and embedded workflows.
  • Improve system performance through optimization of retrieval, memory, context management, and tool orchestration.
  • Partner closely with customers and internal teams to understand emerging AI use cases and translate them into product capabilities.
  • Stay on top of advancements in AI models, agent architectures, and voice technologies, helping guide product and technical strategy.
  • Act as a resource for the broader team on AI best practices, workflows, and implementation approaches.
  • Contribute across the stack when needed, from backend AI infrastructure to customer-facing product features.

What They re Looking For

  • Strong experience building AI-powered products or features used in production environments.
  • Deep familiarity with LLM-based systems, including prompting, retrieval, evaluation frameworks, memory architectures, and tool usage.
  • A strong product mindset and the ability to identify where AI creates meaningful value versus unnecessary complexity.
  • High ownership and a willingness to take initiative in ambiguous, fast-moving environments.
  • Experience moving quickly from idea to implementation and shipping customer-facing solutions.
  • Curiosity about the future of conversational and voice-based AI systems.
  • Ability to work across backend services, AI infrastructure, and user-facing applications when required.
  • Strong communication skills and a collaborative approach to problem-solving.
  • Python
  • LLM APIs and agent frameworks
  • Cloud infrastructure and distributed systems
  • Type Script and modern web technologies
  • Internal developer tooling and automation platforms
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