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For Companies At a Glance
- Tasks: Design and develop AI solutions that transform the banking and finance sector.
- Company: Join a fast-growing, innovative team at the forefront of AI technology.
- Benefits: Up to £70,000 salary, hybrid work, and excellent career development opportunities.
- Why this job: Make a real impact with cutting-edge AI and collaborate with global experts.
- Qualifications: 1-3 years in AI engineering or software development with strong Python skills.
- Other info: Enjoy a collaborative culture and modern tech stack while working on exciting projects.
The predicted salary is between 42000 - 84000 £ per year.
Location: London (Hybrid)
Salary: Up to £70,000 + Bonus + Benefits
Start Date: ASAP
About the Opportunity
We are seeking a talented and motivated AI Engineer to join a fast-growing, forward-thinking team operating at the cutting edge of artificial intelligence, large language models (LLMs), and cloud-native applications. This is an exciting opportunity for an engineer with solid experience in AI development, software engineering, or machine learning systems to work on projects that deliver real business impact across the banking and finance sector. You’ll collaborate with an international team of AI engineers, data scientists, and software developers to design, build, and deploy scalable AI-driven products that automate data workflows, enhance analytics, and improve decision-making capabilities.
What You’ll Be Doing
- Designing, developing, and deploying AI and LLM-based solutions in production environments
- Building and maintaining retrieval-augmented generation (RAG) pipelines and integrating LLM APIs (e.g. GPT, Claude, Gemini)
- Developing and optimising APIs, embeddings, and backend services for AI systems
- Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript
- Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications
- Participating in code reviews, technical discussions, and internal R&D projects
- Collaborating with engineers, product teams, and business stakeholders to deliver robust, production-ready solutions
- Contributing to the evolution of internal frameworks and best practices for AI deployment
What We’re Looking For
- 1–3 years of experience in AI engineering, data engineering, or software development
- Demonstrable experience delivering AI, LLM, or data-driven applications
- Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript
- Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate)
- Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD)
- Excellent problem-solving skills and a proactive, collaborative mindset
- Full right to work in the UK (visa sponsorship not available)
Nice to Have
- Experience with prompt engineering, fine-tuning, or AI agents
- Understanding of retrieval-augmented generation (RAG) systems and semantic search
- Exposure to enterprise AI security, multimodal AI, or reinforcement learning (RLHF)
Benefits
- Competitive Salary: Up to £70,000 + annual performance bonus
- Hybrid Working: Flexible blend of office and remote work
- Career Development: Continuous learning, technical mentorship, and clear progression opportunities
- Modern Tech Stack: Work with state-of-the-art AI, LLM, and cloud technologies
- Collaborative Culture: Join an innovative, global engineering and data science team
- Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives
How to Apply
If you’re passionate about applying your AI and engineering expertise to deliver cutting-edge solutions that make a real impact, we’d love to hear from you. Please send us your CV, and a member of our team will be in touch to discuss next steps.
Artificial Intelligence Engineer employer: Intellect Group
Contact Detail:
Intellect Group 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 people in the AI field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or cloud applications. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Python and TypeScript. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI development, Python, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of AI or LLM projects you've been involved in. Whether it's a personal project or something from work, we love seeing real-world applications of your skills. It helps us understand your hands-on experience!
Keep It Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible and avoid jargon. We appreciate straightforward communication that gets right to the heart of your qualifications.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to the right people. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Intellect Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, LLMs, and the specific technologies mentioned in the job description. Be ready to discuss your experience with Python, TypeScript, and any relevant frameworks like PyTorch or TensorFlow. Showing that you understand the tools and concepts will impress the interviewers.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that relate to AI engineering or machine learning. Highlight your role, the challenges you faced, and how you overcame them. This not only demonstrates your technical skills but also your problem-solving abilities and collaborative mindset.
✨Ask Smart Questions
Interviews are a two-way street, so come prepared with insightful questions about the team, projects, and company culture. This shows your genuine interest in the role and helps you gauge if it's the right fit for you. Think about asking how they approach RAG systems or what their development workflow looks like.
✨Practice Coding Challenges
Since coding is a big part of this role, practice common coding challenges, especially in Python and JavaScript. You might be asked to solve problems on the spot, so being comfortable with algorithms and data structures will give you an edge. Plus, it’s a great way to demonstrate your coding skills during the interview.
