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Sr. AI Engineer

Job in Milpitas, Santa Clara County, California, 95035, USA
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
Salary/Wage Range or Industry Benchmark: 170000 - 250000 USD Yearly USD 170000.00 250000.00 YEAR
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.

What You'll Do
  • 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
    .
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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