Applied AI Engineer

Mem0 is a company focused on building the memory layer for AI agents, enabling them to remember conversations and learn from interactions. They are seeking an Applied AI Engineer to create proofs-of-concept that integrate AI tools and experiment with memory retrieval approaches, collaborating closely with research and backend teams.

Responsibilities:

• Build POCs for real use cases. Stand up end-to-end demos (UI + APIs + data) that integrate Mem0 in the customer's flow
• Experiment with memory retrieval. Try different embeddings, indexing, hybrid search, re-ranking, chunking/windowing, prompts, and caching to hit task-level quality and latency targets
• Prototype with Research. Implement paper ideas and new techniques from scratch, compare baselines, and keep what wins
• Create eval harnesses. Define small gold sets and lightweight metrics to judge POC success; instrument demos with basic telemetry
• Integrate AI tooling. Combine LLMs, vector DBs, Mem0 SDKs/APIs, and third-party services into coherent workflows
• Collaborate tightly. Work with Backend on clean contracts and data models; with Research on hypotheses; share learnings and next steps
• Package and handoff. Write concise docs, scripts, and templates so Engineering can productionize quickly