Architect, MLE

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Design and construct agentic systems from the ground up

• Create state management systems and memory frameworks for ongoing agent interactions

• Implement production-ready solutions utilizing MLOps methodologies

• Integrate large language models (LLMs) and enhance performance for autonomous agents

⛳️ Requirements

• 8-12 years of experience in designing machine learning systems

• Proficient in Python at an expert level with machine learning frameworks (TensorFlow, PyTorch, Transformers)

• Familiarity with fast API, asynchronous programming, and microservices architecture

• Practical experience with vector databases (Pinecone, Weaviate, ChromaDB) and developing scalable retrieval-augmented generation (RAG) systems

• Experience in a production environment with at least one major cloud service provider (AWS, GCP, or Azure)

🏝️ Benefits

• Competitive salary

• Flexible working hours

• Opportunities for professional development

• Options for remote work