Posted:1 week ago| Platform:
Remote
Part Time
Weโre hiring a Part-Time AI Developer to contribute to the development of advanced AI infrastructure and automation systems. This role is ideal for an experienced engineer who thrives in ownership-driven environments and wants to work on high-impact AI and automation pipelines โ on a flexible, remote schedule. Responsibilities ๐งฑ Architect MCP Clusters: Design and deploy Model-Control-Plane (MCP) servers using Docker and Kubernetes to monitor and auto-scale LLMs/micro-models ๐ Automate with n8n: Build full-stack automation flows in n8n โ including triggers, webhooks, queues, and failure recovery ๐ง Build RAG Pipelines: Implement custom Retrieval-Augmented Generation (RAG) pipelines with Pinecone , Weaviate , or FAISS , using LangChain or LlamaIndex โ๏ธ Develop Extensible Code: Write clean, production-ready TypeScript or Python for custom nodes, plugins, and APIs (REST/GraphQL) โ๏ธ Deploy on Cloud: Launch and manage cloud-native services using AWS , GCP , or Azure with CI/CD and Infrastructure as Code ( Terraform , Pulumi ) ๐ Tune & Monitor: Optimize for latency, cost, and performance; manage prompt/embedding versioning and observability Required Skills 3+ years of experience in AI/ML systems, backend automation, or infrastructure Deep knowledge of Docker , Kubernetes , and cloud deployment Proven hands-on experience with n8n or similar automation platforms Experience with vector databases and RAG architectures Strong in TypeScript and/or Python Familiarity with LangChain , LlamaIndex , or similar libraries Comfortable building in fast-paced, asynchronous environments Show more Show less
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