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Member of Technical Staff
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-24
Listing for:
kadence
Full Time
position Listed on 2026-06-24
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software)
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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