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Sr. AI Engineer
Job in
Milpitas, Santa Clara County, California, 95035, USA
Listed on 2026-10-16
Listing for:
MemVerge, Inc.
Full Time
position Listed on 2026-10-16
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect, Machine Learning/ ML Engineer, AI Reliability/ Performance Engineer
Job Description & How to Apply Below
Mem Verge is building next-generation AI infrastructure and personal AI software. Our Memory Box platform gives AI systems persistent, portable, and user-controlled memory across applications, conversations, and AI models.
We are seeking a Sr. AI Engineer to lead the architecture and development of Memory Box’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. It's critical that you have strong software engineering experience as well.
- Lead the architecture and development of Memory Box’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
.
- 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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