Applied AI Engineer

Role Summary :

Own the 0→1 . You'll turn vague customer use cases into working proofs-of-concept that showcase what Mem0 can do. This means rapid full-stack prototyping, stitching together AI tools, and aggressively experimenting with memory retrieval approaches until the use case works end-to-end. You'll partner closely with Research and Backend, communicate trade-offs clearly, and hand off winning prototypes that can be hardened for production.

What You'll Do :

• 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 & handoff : Write concise docs, scripts, and templates so Engineering can productionize quickly.

Minimum Qualifications

Nice to Have :

About Mem0

We're building the memory layer for AI agents. Think long-term memory that enables AI to remember conversations, learn from interactions, and build context over time. We're already powering millions of AI interactions. We are backed by top-tier investors and are well capitalized.

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