Senior Software Engineer - AI Agent Memory Infrastructure

What you'll do

• Design and evolve unified AI agent memory platforms and their data pipelines, including ingestion, storage, indexing, retrieval, updating, compression, and forgetting.
• Develop memory representations and workflows for retrieval, ranking, conflict resolution, summarization, and multimodal fusion.
• Partner with model, application, and platform teams to productionize memory capabilities and optimize quality, latency, cost, reliability, and safety.

What they ask for

• Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong experience in distributed systems, databases, information retrieval systems, or AI infrastructure, including system design and production engineering.
• Proficiency in at least one of Go, Python, or C++, with strong coding standards and engineering practices.
• Understanding of LLM application technologies and familiarity with at least one key area of memory systems.

Nice to have

• Experience with agent memory systems, user profiling, recommendation/search platforms, or knowledge bases; contributions to or deep understanding of open-source memory frameworks such as mem0, memOS, or memU.
• Experience in multimodal processing, online inference, personalized agents, or long-term user state modeling; impactful publications, open-source work, or technical achievements.

Tools

Go, Python, C++, LLMs, embeddings, retrieval-augmented generation (RAG), vector/graph indexing

AI focus

Develops AI agent memory systems for long-term personalization, conversational and task-oriented memory, multimodal fusion, and real-time inference.