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For Companies At a Glance
- Tasks: Design and build AI systems for the beauty industry, enhancing customer experiences.
- Company: Join Renude, an award-winning tech company revolutionising beauty with AI.
- Benefits: Competitive pay, remote-friendly culture, flexible hours, and growth opportunities.
- Other info: Collaborative team environment focused on innovation and personal development.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: 4+ years in AI engineering, strong Python skills, and experience with LLM products.
The predicted salary is between 60000 - 80000 £ per year.
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
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
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
Mid-Senior AI Engineer employer: Renude
Contact Detail:
Renude Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mid-Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or conversational agents. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Mid-Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Mid-Senior AI Engineer. Highlight your experience with AI applications, backend systems, and any relevant projects that showcase your skills in Python and LLM-powered products.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in the beauty industry and how your background aligns with Renude's mission. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any interesting AI projects, make sure to mention them! Whether it's a personal project or something from your previous job, demonstrating your hands-on experience can really set you apart.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Renude
✨Know Your Stuff
Make sure you brush up on your knowledge of AI systems, especially those related to conversational agents and RAG workflows. Be ready to discuss your past projects in detail, focusing on the technologies you've used and the challenges you've overcome.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach designing scalable backend services or optimising retrieval pipelines. This will demonstrate your critical thinking and technical prowess.
✨Collaborate Like a Pro
Since collaboration is key at Renude, be prepared to discuss how you've worked with cross-functional teams in the past. Share examples of how you’ve integrated feedback from product and design teams to enhance AI experiences.
✨Stay Updated on Trends
The AI landscape is always changing, so show that you're on top of the latest frameworks and tools. Mention any recent advancements in LLMs or orchestration approaches that excite you, and how you see them fitting into your work.