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.
Overview
Role overview
Company
About the company
Well-funded AI infrastructure startup
Responsibilities
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.
Candidate profile
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.
What makes it remarkable
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.
Jack & Jill
How Jack & Jill work together
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 14 million jobs daily and introduces you directly to hiring managers.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.