At a Glance
- Tasks: Develop AI algorithms for manufacturing, focusing on causal discovery and document intelligence.
- Company: Join smartR.ai, a leader in innovative AI solutions.
- Benefits: Competitive salary, direct mentorship, and a fully funded three-year programme.
- Other info: Hybrid remote work in Edinburgh with excellent career growth opportunities.
- Why this job: Make a real impact in AI while working with cutting-edge technology.
- Qualifications: Strong maths skills and vibe coding experience required; entry-level candidates welcome.
The predicted salary is between 50000 - 50000 £ per year.
Join smartR.ai as an AI Algorithm Engineer to deploy and extend the SCOTi platform at a large manufacturer, building production-scale algorithms for causal discovery, agentic RAG, document intelligence and legacy system connectors. The role offers hands-on ownership and mentorship while applying ML/NLP and data-engineering methods to connect and reason over engineering knowledge.
Role
You will deploy and extend the SCOTi platform at a major manufacturing customer, building AI that reads, connects and reasons over engineering knowledge (drawings, specifications, reports, telematics and warranty data). Your algorithms will run in production at scale and you will work alongside the developers who built SCOTi with real ownership and mentorship.
Key Responsibilities
- Develop causal-discovery algorithms to find root causes in complex manufacturing data
- Design and implement agentic RAG (retrieval, ranking and context selection) methods to support enterprise question-answering
- Build document-intelligence pipelines to extract and cross-check information from drawings, specifications and unstructured documents (Discrepancy AI)
- Implement robust connectors and integrations to pull data from legacy enterprise systems
- Deploy and maintain models and pipelines in production environments; collaborate with the SCOTi engineering team
Requirements
- Required
- Strong mathematical foundations (information theory, optimisation, statistics)
- Knowledge of vibe coding
- Creative problem-solving and collaborative communication skills
- Right to work in the UK
- Desirable / Knowledge (not required)
- Experience or knowledge of NLP, LLMs, RAG, information retrieval or knowledge graphs
- Data engineering experience including APIs, SQL and working with messy real-world data
- Interest in manufacturing or industrial applications
- Suitable for entry-level candidates and those with 1–2 years of relevant experience
What we offer
- Direct mentorship from the engineers who built SCOTi
- A three-year, fully funded programme with a named industrial deployment
- Opportunities to present work through consortium dissemination
Location & Working Pattern
Hybrid remote in Edinburgh (EH2 1DD).
£42,000.00-£50,000.00 per year
AI Algorithm Engineer (Agentic RAG & Document Intelligence) employer: Vibehackers
Vibehackers is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and technology. With a focus on employee growth, you will have the opportunity to work alongside talented professionals in a collaborative environment, while enjoying the flexibility of remote work across EU/UK time zones. Our commitment to meaningful projects ensures that your contributions will have a direct impact on the success of our cutting-edge trading platform.
StudySmarter Expert Advice🤫
We think this is how you could land AI Algorithm Engineer (Agentic RAG & Document Intelligence)
✨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 Vibehackers 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
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace AI Algorithm Engineer (Agentic RAG & Document Intelligence)
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 Vibehackers.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Vibehackers 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 Vibehackers
✨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 Vibehackers 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.
