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Principal AI Engineer
MemVerge
1 hour ago
Full-time
On-site
San Francisco, California, United States
MemVerge is building next-generation AI infrastructure and personal AI software. Our MemoryBox platform gives AI systems
persistent, portable, and user-controlled memory
across applications, conversations, and AI models.
We are seeking a
Principal AI Engineer
to lead the architecture and development of MemoryBox’s AI systems. This hands-on role will tackle
LLMs, AI agents, RAG, long-term memory, and personalization , while helping shape our technical direction and turn emerging AI capabilities into scalable products.
What You’ll Do Lead the architecture and development of
MemoryBox’s LLM and AI systems . Build
persistent AI memory, RAG, semantic search, personalization, and agentic workflows . Develop and optimize AI systems for
accuracy, performance, scalability, and reliability . Turn emerging AI research into
production-ready capabilities
and help shape the technical roadmap. Provide technical leadership and
mentor engineers across the team .
What We're Looking For Extensive experience building and shipping production
AI/ML and LLM systems . Deep expertise in
LLMs, RAG, agents, embeddings, semantic search, memory, personalization, and evaluation . Strong programming skills in
Python, Rust, and/or Go . Proficient use of AI coding agents is required
as part of the development, testing, and shipping workflow. Strong foundation in
distributed systems, cloud infrastructure, data pipelines, and production AI frameworks . Proven ability to
lead complex technical initiatives, make architectural tradeoffs, and mentor engineers . Experience with frontier or open-source LLMs, model serving, GPU/distributed inference, high-performance AI systems, privacy-preserving AI, relevant research or open-source contributions, or building products in fast-moving startup environments preferred.
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persistent, portable, and user-controlled memory
across applications, conversations, and AI models.
We are seeking a
Principal AI Engineer
to lead the architecture and development of MemoryBox’s AI systems. This hands-on role will tackle
LLMs, AI agents, RAG, long-term memory, and personalization , while helping shape our technical direction and turn emerging AI capabilities into scalable products.
What You’ll Do Lead the architecture and development of
MemoryBox’s LLM and AI systems . Build
persistent AI memory, RAG, semantic search, personalization, and agentic workflows . Develop and optimize AI systems for
accuracy, performance, scalability, and reliability . Turn emerging AI research into
production-ready capabilities
and help shape the technical roadmap. Provide technical leadership and
mentor engineers across the team .
What We're Looking For Extensive experience building and shipping production
AI/ML and LLM systems . Deep expertise in
LLMs, RAG, agents, embeddings, semantic search, memory, personalization, and evaluation . Strong programming skills in
Python, Rust, and/or Go . Proficient use of AI coding agents is required
as part of the development, testing, and shipping workflow. Strong foundation in
distributed systems, cloud infrastructure, data pipelines, and production AI frameworks . Proven ability to
lead complex technical initiatives, make architectural tradeoffs, and mentor engineers . Experience with frontier or open-source LLMs, model serving, GPU/distributed inference, high-performance AI systems, privacy-preserving AI, relevant research or open-source contributions, or building products in fast-moving startup environments preferred.
#J-18808-Ljbffr