About Refold AI Refold AI is the AI integration platform built for agents, made for modern SaaS companies that need to ship enterprise integrations at scale. We're reimagining integrations with AI agents that work like business consultants and integration engineers, building them 10x faster, in hours instead of days. The payoff: integrations stop being a bottleneck that costs you deals and burns margin, and become a growth engine. You win the enterprise deals that hinge on them, onboard faster, and scale without an army of consultants. We've grown rapidly, reaching seven-figure ARR and 30+ paying customers, powering the product and professional services teams at modern SaaS companies, from Incorta, Kantata, and Coupa to Highradius, Naehas, and OvationCXM. Refold AI has raised $6.5M from world-class investors including Eniac Ventures (early investors in Airbnb & Uber), Tidal Ventures, and Better Capital. What you'll do: • Implement memory for 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. • Optimise 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. What we're looking for: • 5+ years of experience in AI/ML with deep exposure to Generative AI and LLMs • Experience working in Memory Management, Context setting and RAG • 1-2 yrs of purely Backed SDE experience is a must for this role • Preferably from Tier 1 colleges with a background in CSE preferred Originally posted on Himalayas