Applied AI Engineer jobs in United States
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Mem0 · 1 day ago

Applied AI Engineer

Mem0 is building the memory layer for AI agents, enabling AI to remember conversations and learn from interactions. They are seeking an Applied AI Engineer to create proofs-of-concept that integrate their technology into customer workflows, collaborating closely with research and backend teams to prototype and experiment with AI tools.

Artificial Intelligence (AI)Information TechnologyMachine LearningSaaS

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

Qualification

Full-stack fluencyPythonLLM/RAG stackRapid prototypingAPI developmentData visualizationUX polishCommunication

Required

Full-stack fluency: Next.js/React on the front end and Python backends (FastAPI/Django/Flask) or Node where needed
Strong Python and TypeScript/JavaScript; comfortable building APIs, wiring data models, and deploying quick demos
Hands-on with the LLM/RAG stack: embeddings, vector databases, retrieval strategies, prompt engineering
Track record of rapid prototyping: moving from idea → demo in days, not months; clear documentation of results and trade-offs
Ability to design small, meaningful evaluations for a use case (quality + latency) and iterate based on evidence
Excellent communication with Research and Backend; crisp specs, readable code, and honest status updates

Preferred

Model serving/fine-tuning experience (vLLM, LoRA/PEFT) and lightweight batch/async pipelines
Deployments on Vercel/serverless, Docker, basic k8s familiarity; CI for demo apps
Data visualization and UX polish for compelling demos
Prior Forward-Deployed/Solutions/Prototyping role turning customer needs into working software

Company

Mem0

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Mem0 is a SaaS company that specializes memory layers for LLM applications.

Funding

Current Stage
Early Stage
Total Funding
$24.4M
Key Investors
Basis Set VenturesKindred VenturesY Combinator
2025-10-28Series A· $20M
2025-10-28Seed· $3.9M
2024-09-25Pre Seed· $0.5M
Company data provided by crunchbase