Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

We're looking for engineers who've wrestled with memory management, nailed context persistence, and know why most AI agents forget everything after two turns. You'll build AI agents from Day 0 Memory that ultimately remember. Context that doesn't collapse. RAG that retrieves what matters. Raise the bar. Ship fast. Let's build.

Responsibilities

  • Implement memory in our AI Agents, ensuring proper context management.
  • Apply retrieval-augmented generation (RAG) pipelines to integrate LLMs with real-time data and context.
  • Apply advanced techniques in prompt engineering, transfer learning, and custom model training.
  • Optimize model performance and cost across production environments.
  • Work with tools like Hugging Face, LangChain, OpenAI APIs, and vector databases (FAISS, Pinecone, Weaviate).
  • Deploy scalable models using cloud platforms like AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes.
  • Collaborate with global teams and researchers in a fast-paced, remote-first setup.

Requirements

  • 4+ years of experience in AI/ML with deep exposure to Generative AI and LLMs.
  • Experience working in Memory Management, Context setting, and RAG.
  • 2-3 years of purely Backed SDE experience is a must for this role.
  • Preferably from Tier 1 colleges with a background in CSE preferred.
This job was posted by Shalini Singh from Refold AI.

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