As an Applied AI Engineer, you will own the 0→1 journey by turning vague customer use cases into working proofs-of-concept. You will aggressively experiment with memory retrieval, build rapid full-stack prototypes, and partner with Research to implement cutting-edge techniques. This role is critical for showcasing how AI agents can leverage long-term memory effectively.
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Applied AI Engineer at Well-funded AI infrastructure startup
Are you ready to build the long-term memory layer for AI agents? We are looking for an Applied AI Engineer to own the 0 to 1 journey, turning complex customer needs into functional proofs-of-concept. Based in San Francisco, you'll join a high-velocity team backed by top-tier VCs to experiment with the latest LLM/RAG stacks. If you thrive on rapid prototyping, full-stack fluency, and extreme ownership in an office-first environment, this is your chance to shape how AI remembers and learns from every interaction.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Well-funded AI infrastructure startup
What you will do
- Build end-to-end proofs-of-concept (UI + APIs + data) that integrate AI memory into customer flows.
- Experiment with embeddings, indexing, and hybrid search to optimize task-level quality and latency.
- Collaborate with Research and Backend teams to prototype and hand off winning AI models and docs.
Who this is a fit for
- Full-stack fluency with Next.js/React and Python (FastAPI/Django) for rapid prototyping and deployment.
- Hands-on experience with the LLM/RAG stack, including vector databases, retrieval strategies, and prompt engineering.
- Proven track record of moving from idea to demo in days while maintaining high craftsmanship standards.
Why this role is remarkable
- Work at the forefront of AI agent technology by building the industry's long-term memory layer.
- Backed by top-tier VCs and well-capitalized to solve complex challenges in the LLM/RAG stack.
- Join an office-first culture in San Francisco that prioritizes velocity, craftsmanship, and extreme ownership.
How Jack & Jill work together
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
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Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.