At a Glance
- Tasks: Shape the future of AI by building and deploying autonomous systems.
- Company: Established UK manufacturer with a strong market presence and a commitment to innovation.
- Benefits: Competitive salary, direct access to leadership, and a chance to influence AI strategy.
- Other info: Opportunity to build from scratch in a dynamic and supportive environment.
- Why this job: Be the first dedicated AI hire and make a real impact from day one.
- Qualifications: Strong data engineering background and hands-on AI/ML experience required.
The predicted salary is between 60000 - 80000 € per year.
A well-established, market-leading UK manufacturer with over 50 years of trading history, supplying businesses across the UK and Europe. The business is now beginning its AI journey in earnest and this is the first dedicated AI hire, a genuine opportunity to shape how AI is adopted from day one.
This is a greenfield position. You'll be joining alongside an initial contract consultant brought in for discovery and scoping and will transition into the primary technical owner responsible for building and deploying AI solutions across the business. The focus is on agentic AI, building autonomous systems that can reason and act, not just surface data. Before meaningful AI can be built, the business needs its data structured and cleaned. This role sits at that intersection part data engineer; part AI builder and we're looking for someone comfortable with both.
What You'll Be Doing
- Auditing existing data, identifying gaps and blockers to AI readiness
- Cleaning, transforming and structuring data across operational systems
- Designing and building agentic AI systems tailored to real business use cases
- Integrating LLM-based solutions into existing workflows and processes
- Working directly with senior leadership to prioritise use cases and define the technical roadmap
- Acting as the internal AI subject matter expert as the function grows
What We're Looking For
- A strong data engineering background comfortable working with messy, real-world data
- Hands-on experience building AI/ML systems in production environments
- Practical knowledge of agentic AI frameworks such as LangChain, LangGraph, AutoGen or similar
- Proficiency in Python and relevant libraries
- Experience integrating LLMs via API (OpenAI, Anthropic, etc.)
- Someone who can work in ambiguity and define the path rather than follow one
- Strong communication skills, you'll be translating technical concepts to non-technical stakeholders regularly
Desirable but not essential: experience in a manufacturing or industrial setting, knowledge of RAG architectures, familiarity with cloud platforms, prior experience as a first or early AI hire.
What's on Offer
- £60,000 - £80,000 depending on experience
- A first-of-its-kind role with real ownership and influence
- Direct access to senior leadership
- A stable, profitable business with genuine appetite to invest in this area
- The opportunity to build something from scratch in a business with real operational complexity
AI Engineer - Agentic AI in Oldham employer: Cast UK/ Dcoded
Join a well-established, market-leading manufacturer in Greater Manchester as an AI Engineer, where you'll have the unique opportunity to shape the future of AI within the company from the ground up. With a competitive salary and direct access to senior leadership, you will enjoy a supportive work culture that values innovation and offers significant growth opportunities in a stable and profitable environment. This role not only allows you to take ownership of pioneering AI solutions but also provides a chance to make a meaningful impact in a business eager to invest in cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Agentic AI in Oldham
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. This is your chance to demonstrate your hands-on experience with agentic AI frameworks and data engineering.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You'll need to explain complex AI concepts to non-technical folks, so practice breaking down your knowledge into simple terms.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a better chance to stand out from the crowd.
We think you need these skills to ace AI Engineer - Agentic AI in Oldham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Engineer. Highlight your data engineering background and any hands-on experience with AI/ML systems. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this greenfield opportunity and how you can help shape our AI journey. Let us know what makes you the perfect fit for this role.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Share examples of your work with agentic AI frameworks or any LLM integrations. We love seeing practical applications of your skills in action.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get the attention you deserve. We can't wait to hear from you!
How to prepare for a job interview at Cast UK/ Dcoded
✨Know Your AI Stuff
Make sure you brush up on your knowledge of agentic AI frameworks like LangChain and LangGraph. Be ready to discuss how you've used these in real-world scenarios, as well as your experience with data engineering. This role is all about blending those skills, so show them you can do both!
✨Showcase Your Problem-Solving Skills
Since this position involves cleaning and structuring messy data, prepare examples of how you've tackled similar challenges in the past. Think about specific instances where you identified gaps in data and how you overcame them. This will demonstrate your ability to work in ambiguity and define solutions.
✨Communicate Like a Pro
You'll need to explain complex technical concepts to non-technical stakeholders, so practice simplifying your language. Prepare to share examples of how you've successfully communicated technical ideas in previous roles. This will highlight your strong communication skills, which are crucial for this job.
✨Understand the Business Context
Research the company’s history and its current AI journey. Be ready to discuss how your role as an AI Engineer can impact their operations and contribute to their goals. Showing that you understand their business will set you apart and demonstrate your genuine interest in the position.
