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- Tasks: Design and deploy cutting-edge AI applications using Python and modern frameworks.
- Company: Join a high-impact team at a leading enterprise focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by shaping the future of AI technology in a collaborative environment.
- Qualifications: 3+ years of experience in AI, strong Python skills, and hands-on LLM experience.
- Other info: Engage with senior stakeholders and mentor junior engineers in a dynamic setting.
The predicted salary is between 36000 - 60000 £ per year.
We’re hiring an AI Engineer to join a high-impact GenAI feature team building production-grade AI applications used at scale across a large enterprise environment. This role sits at the intersection of hands-on engineering and strategic delivery, with exposure to senior stakeholders and real influence over how AI capabilities are designed and deployed.
You’ll act as a senior individual contributor: setting technical direction, mentoring junior engineers, and helping shape agentic AI solutions from concept through to production.
What you’ll be doing:
- Designing, building, and deploying agentic AI applications using Python and modern LLM frameworks
- Working hands-on with Large Language Models, including evaluation, prompt optimisation, and applied reasoning patterns
- Contributing to the technical direction of GenAI initiatives, acting as a subject-matter expert within the team
- Collaborating closely with product, engineering, and platform teams to deliver scalable, secure AI solutions
- Engaging with senior stakeholders, translating complex technical concepts into clear, actionable insight
- Reviewing code, mentoring junior engineers, and promoting strong engineering and AI best practices
- Ensuring solutions are production-ready, with appropriate testing, observability, and security controls
Requirements:
- 3+ years minimum of commercial experience
- Strong, commercial experience with Python
- At least 1 year of hands-on experience delivering Agentic AI solutions
- Experience working with LLMs in real-world applications
- Confident communicator, comfortable engaging with senior technical and non-technical stakeholders
Nice to Have:
- Experience building AI solutions in regulated or enterprise environments
- Exposure to AWS services (e.g. Bedrock, Lambda, S3, CloudWatch)
- Knowledge of data engineering or MLOps concepts
- Familiarity with CI/CD, infrastructure as code, and containerised deployments
If you are an AI engineer who wants to build real agentic systems, influence technical direction, and operate at senior stakeholder level, apply today.
Artificial Intelligence Engineer employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on projects and any relevant achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Remember, we love seeing your personality come through!
Showcase Your Communication Skills: Since you'll be engaging with senior stakeholders, it's crucial to demonstrate your ability to translate complex concepts into simple terms. Use examples in your application that highlight your communication prowess!
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’s super easy!
How to prepare for a job interview at Anson McCade
✨Know Your AI Stuff
Make sure you brush up on your knowledge of agentic AI solutions and Large Language Models. Be ready to discuss your hands-on experience with Python and how you've applied it in real-world scenarios. This is your chance to showcase your expertise!
✨Showcase Your Communication Skills
Since you'll be engaging with senior stakeholders, practice translating complex technical concepts into simple terms. Think about examples where you've successfully communicated with both technical and non-technical audiences, as this will demonstrate your versatility.
✨Prepare for Technical Questions
Expect questions that dive deep into your technical skills, especially around code reviews and mentoring junior engineers. Brush up on best practices in engineering and AI, and be prepared to discuss how you ensure solutions are production-ready.
✨Familiarise Yourself with the Company’s Tech Stack
If the company uses AWS services or has specific CI/CD practices, do a bit of research. Understanding their tech stack will not only help you answer questions more effectively but also show your genuine interest in the role and the company.
