At a Glance
- Tasks: Transform real business problems into practical AI solutions and prototypes.
- Company: Join a global leader in AI innovation with a hands-on approach.
- Benefits: Competitive salary, hybrid work model, and opportunities for rapid career growth.
- Other info: Ideal for those who love building and experimenting with cutting-edge tech.
- Why this job: Be at the forefront of AI technology and make impactful decisions quickly.
- Qualifications: Strong Python skills and experience with Generative AI tools required.
The predicted salary is between 50000 - 60000 £ per year.
AI Innovation Engineer / AI Solutions Engineer
Location: Hybrid / UK-based
Salary: Competitive
Standard 8 are representing a global 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. 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 - OpenAI, Claude, Gemini, LangChain in Manchester employer: Virtual Hire Staffing
At Standard 8, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to tackle real-world challenges head-on. As an AI Innovation Engineer, you will have the unique opportunity to work in a hybrid environment in the UK, where collaboration and creativity are at the forefront of our mission. We offer competitive salaries, a commitment to employee growth through hands-on experience with cutting-edge AI technologies, and a supportive atmosphere that encourages experimentation and practical problem-solving.
StudySmarter Expert Advice🤫
We think this is how you could land AI Innovation Engineer - OpenAI, Claude, Gemini, LangChain in Manchester
✨Tip Number 1
Get your hands dirty! Dive into the tools mentioned in the job description like OpenAI, Claude, and LangChain. Build a quick proof of concept that showcases your skills and understanding of AI solutions. This will not only impress potential employers but also give you real-world experience to talk about.
✨Tip Number 2
Network like a pro! Connect with professionals in the AI field through LinkedIn or local meetups. Share your insights on emerging AI products and engage in discussions about practical applications. This can lead to valuable connections and even job opportunities.
✨Tip Number 3
Prepare for interviews by practising how to explain complex AI concepts in simple terms. Remember, you’ll be working with business teams, so being able to translate tech jargon into relatable language is key. Mock interviews with friends can help you nail this!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to reach out directly. So, get your CV ready and let’s make it happen!
We think you need these skills to ace AI Innovation Engineer - OpenAI, Claude, Gemini, LangChain in Manchester
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:Use your cover letter to tell us why you're the perfect fit for the AI Innovation Engineer role. Share specific examples of how you've tackled real business problems with AI solutions, and let your passion for innovation shine through!
Showcase Your Problem-Solving Skills:In your application, highlight instances where you’ve quickly moved from identifying a problem to creating a working prototype. We love candidates who can demonstrate their ability to cut through the noise and deliver practical solutions.
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 shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Virtual Hire Staffing
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like OpenAI, Claude, and LangChain. Familiarise yourself with their functionalities and 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 Problem-Solving Skills
Prepare examples of how you've tackled complex problems using AI solutions. Be ready to walk through your thought process from identifying a pain point to developing a proof of concept. This will demonstrate your hands-on approach and ability to deliver results quickly.
✨Communicate Clearly with Stakeholders
Practice explaining technical concepts in simple terms. You’ll need to bridge the gap between tech teams and business stakeholders, so being able to articulate your ideas clearly is crucial. Think about how you can present your findings and recommendations effectively.
✨Be Ready to Experiment and Learn
Emphasise your curiosity and willingness to experiment with new AI technologies. Share instances where you’ve tried out different approaches, documented your findings, and made informed recommendations. This shows that you’re not just a builder but also a thoughtful innovator.
