Senior AI Architect: MemoryBox LLMs & Personal AI

MemVerge, Inc.; Milpitas (CA); On-site; USD 170,000 - 250,000; Full time

Job summary

MemVerge, Inc. is seeking a Senior AI Engineer to lead architecture and development of MemoryBox’s AI systems. You will tackle LLMs, AI agents, RAG, long-term memory, and personalization while shaping technical direction and turning research into scalable products.

This hands-on role requires strong software engineering experience and leadership to mentor engineers across the team. You will drive production-quality AI systems with a focus on accuracy, performance, and reliability.

Qualifications

• 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 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.

Responsibilities

• 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.

Skills

AI/ML systems

LLMs

RAG

Agents

Personalization

Distributed systems

Cloud infrastructure

Python

Rust

Go

Embeddings

Semantic search

GPU inference

Model serving

Tools

Embeddings

Semantic search

GPU inference

Model serving

Job description

MemVerge, Inc. is seeking a Senior AI Engineer to lead architecture and development of MemoryBox’s AI systems. You will tackle LLMs, AI agents, RAG, long-term memory, and personalization while shaping technical direction and turning research into scalable products.

This hands-on role requires strong software engineering experience and leadership to mentor engineers across the team. You will drive production-quality AI systems with a focus on accuracy, performance, and reliability.