At a Glance
- Tasks: Transform real business problems into practical AI solutions and prototypes.
- Company: Dynamic tech company focused on innovative AI applications.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on hands-on problem-solving.
- Why this job: Be at the forefront of AI innovation and make a tangible impact.
- Qualifications: Strong Python skills and experience with Generative AI tools.
The predicted salary is between 50000 - 60000 £ per year.
Location: Hybrid / UK-based
Salary: Competitive
Standard 8 are representing a business looking for an AI Innovation Engineer who can cut through the noise and work out what is actually useful. This is not a “sit in meetings and talk about AI strategy” role. It is for someone who can take a real business problem, explore the right tools, build something that works, and explain whether it is worth taking further.
You will be looking at emerging AI products, LLMs, agentic frameworks and automation opportunities, then turning ideas into working proof of concepts quickly. The business wants someone who can move from problem to prototype to recommendation in weeks, not quarters.
Day to day, you will be working with business teams to understand where the pain points are, then translating those into practical AI solutions that engineering teams can build on. Some ideas will be worth scaling. Some will not. Your job is to find out quickly, with evidence, and without getting carried away by hype.
You will be hands-on with tools such as OpenAI, Claude, Gemini, LangChain, CrewAI and AutoGen. Strong Python skills are important, along with experience integrating APIs and pulling together working demos that people can actually use and understand.
We are looking for someone with a software engineering or solution architecture background and at least 1–3 years working with Generative AI. You should have built AI proof of concepts before, worked with stakeholders outside of tech, and understand that enterprise AI needs governance, security and commercial sense as much as clever prompts.
You do not need to pretend every AI tool is revolutionary. You do need to be curious, practical and quick to learn. The right person will enjoy experimenting, but they will also know when to stop, document what they have found, and recommend a sensible next step. This would suit someone who likes being close to the problem, close to the technology, and close to the decision-making. A builder, not a commentator.
What you’ll need:
- Strong Python and API integration experience.
- Hands-on Generative AI experience across LLMs and modern AI tooling.
- Exposure to frameworks such as LangChain, CrewAI or AutoGen.
- A track record of building quick, credible proof of concepts.
- The confidence to speak with business stakeholders and technical teams.
- A practical understanding of AI adoption, governance and enterprise constraints.
Standard 8 are managing applications for this role. Send your CV over and we’ll take it from there.
AI Innovation Engineer / AI Solutions Engineer employer: Standard 8
Join a forward-thinking company that values innovation and hands-on problem-solving in the rapidly evolving field of AI. With a hybrid work model based in the UK, you'll enjoy a collaborative culture that encourages experimentation and quick learning, alongside opportunities for professional growth and development. The company prioritises practical solutions over theoretical discussions, making it an ideal environment for those eager to make a tangible impact in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Innovation Engineer / AI Solutions Engineer
✨Tip Number 1
Get hands-on with the tools! Dive into OpenAI, Claude, and LangChain before your interview. Show us you can play around with these technologies and come up with a few ideas or prototypes that could solve real business problems.
✨Tip Number 2
Network like a pro! Reach out to people in the industry on LinkedIn or at meetups. Ask them about their experiences with AI solutions and share your own insights. This will not only help you learn but also get your name out there.
✨Tip Number 3
Prepare to discuss your past projects! Be ready to explain how you turned a problem into a working proof of concept. We want to hear about your thought process, the tools you used, and how you communicated with stakeholders.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us. Don’t miss out on this opportunity!
We think you need these skills to ace AI Innovation Engineer / AI Solutions Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, API integration, and any hands-on work with Generative AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or proof of concepts you've built.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled real business problems with AI solutions. We love a good story, especially if it shows your practical approach and quick learning!
Showcase Your Problem-Solving Skills:In your application, highlight instances where you’ve moved from identifying a problem to creating a working prototype. We’re looking for builders who can quickly assess what works and what doesn’t, so give us the details on your process!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Standard 8
✨Know Your Tools Inside Out
Make sure you’re familiar with the AI tools mentioned in the job description, like OpenAI and LangChain. Be ready to discuss how you've used them in past projects or how you would apply them to solve real business problems.
✨Showcase Your Prototyping Skills
Prepare to talk about your experience building proof of concepts. Have specific examples ready that demonstrate how you quickly turned an idea into a working demo, and be prepared to explain the thought process behind your decisions.
✨Understand the Business Context
Research the company and its industry to understand their pain points. During the interview, connect your technical skills to their business needs, showing that you can translate complex AI solutions into practical applications that drive value.
✨Be Ready to Discuss Governance and Security
Since enterprise AI requires governance and security, be prepared to discuss how you’ve approached these aspects in your previous work. Highlight your understanding of the balance between innovation and responsible AI deployment.
