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 work, flexible hours, and opportunities for personal growth.
- Other info: Dynamic startup environment with high ownership and technical influence.
- Why this job: Make a real impact in AI while working with cutting-edge technology.
- Qualifications: 4+ years in AI applications, strong Python skills, and experience with LLM products.
The predicted salary is between 80000 - 98000 £ 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 in Sheffield employer: Renude
At Renude, we pride ourselves on being an exceptional employer, offering a remote-friendly culture that promotes flexibility and work-life balance. Our team thrives on collaboration and innovation, providing ample opportunities for personal and professional growth while working with cutting-edge AI technologies in the beauty industry. With competitive compensation and a strong focus on product excellence, we empower our employees to take ownership of their projects and make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Mid-Senior AI Engineer in Sheffield
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Renude or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Renude.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Renude.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Renude that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Mid-Senior AI Engineer in Sheffield
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Renude.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Renude and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Renude
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Renude uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
