We’re looking for an AI Engineer to design, build, and deploy AI-powered solutions that directly improve operational and sales efficiency. This is a hands-on engineering role focused on AI orchestration, integration, and infrastructure - not research, not management. You’ll work across Python, LLM tooling, cloud infrastructure, and Kubernetes to deliver production-ready AI workflows embedded into core platforms. What you’ll do: Build and deploy end-to-end AI solutions used in real-world workflows Design and implement LLM orchestration, RAG pipelines, and AI agents Develop autonomous workflows using Python, Langflow, and modern AI tools Embed AI components into existing software systems Work closely with Product, SRE, and Platform teams to ship scalable solutions Own AI components in production — from design to monitoring Continuously evaluate new AI tools and patterns What you’ll bring: Strong experience building applications in Python Hands-on experience developing and deploying LLM-based solutions (RAG, agents, orchestration) Solid cloud experience, ideally AWS with Terraform Experience deploying workloads in Docker & Kubernetes Ability to turn loose business problems into clean technical solutions Working understanding of ML concepts (focus is engineering & integration, not research) Why join: Build AI that actually ships — not POCs that die in notebooks Work with a modern AI stack and real production workloads High-ownership role with strong technical impact Backed by a collaborative engineering culture that values speed and quality If you want to build real AI products - not endless prototypes - this is your role! Apply below or email your CV directly to josh.kitchin@profusiongroup.com
