Renude
Mid-Senior AI Engineer
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Mid-Senior AI Engineer
👋 About Renude
Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat.
We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more. We have raised over $4M from leading tech investors in addition to being awarded Innovate UK Grants. Our team combines tech, formulation, dermatology, e-commerce and sales expertise.
🔧 What You'll Do
We’re hiring a mid-senior (4+ years experience) AI Engineer to help design, build, and scale our production AI systems with ownership from design to deployment. You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered experiences in production.
Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases Develop scalable backend services and APIs powering AI agents and conversational systems Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search Collaborate closely with product, design, and engineering teams to shape AI-first experiences Integrate LLM systems into user-facing web applications and product features Improve response quality, reliability, latency, observability and cost efficiency of production AI systems Evaluate new AI frameworks, tools, and orchestration approaches across the rapidly evolving LLM ecosystem Influence architecture decisions for scalable, secure, and production-ready AI infrastructure
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✅ What We're Looking For
Must-Haves: Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or equivalent practical experience 4+ years experience building and deploying production AI applications 2+ years experience developing LLM-powered products, conversational AI, RAG systems, or agentic workflows Strong Python skills and experience building backend systems and APIs Hands on experience building agentic workflows, tool-calling pipelines, and stateful orchestration using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines Experience with production optimisation for RAG systems, including latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment
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Nice-to-Haves: Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient model adaptation workflows Experience with evaluation and monitoring frameworks for LLM systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks Familiarity with graph databases such as Neo4j or Amazon Neptune Experience with recommendation systems, personalisation pipelines or ranking systems Experience building modern web applications using Django, FastAPI, React, or similar frameworks Comfortable using Docker and containerised development workflows Exposure to CI/CD pipelines, infrastructure-as-code, and cloud-native deployment practices
🌱 What We Offer
Competitive compensation (based on experience) Remote-friendly culture with flexible working hours Opportunity to work with cutting edge technologies High ownership and real technical influence A supportive team that values product excellence and personal growth
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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