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For Companies At a Glance
- Tasks: Design and build cutting-edge AI applications that solve real-world problems.
- Company: Join a forward-thinking AI organisation in Canary Wharf, London.
- Benefits: Earn £500/day with flexible remote work options and a dynamic team environment.
- Why this job: Make a tangible impact by developing high-impact AI solutions in a collaborative setting.
- Qualifications: Proven software engineering experience with strong Python skills and cloud infrastructure knowledge.
- Other info: Exciting opportunity for career growth in a fast-paced, innovative tech landscape.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for experienced AI Engineers who think holistically, automate relentlessly, and know how to turn modern AI capabilities into production-grade, high-impact applications. Our AI organisation is building real-world AI products that deliver business value at speed. This role is ideal for seasoned engineers who combine strong software engineering fundamentals with a pragmatic, hands-on approach to AI tooling and infrastructure.
What you’ll be doing:
- Designing, building, and maintaining production-grade AI applications using modern engineering practices (CI/CD, testing, observability, cloud-native design).
- Developing reusable AI platforms and tools (e.g. conversational bots, AI-powered search, unstructured data processing, GenAI solutions).
- Working in cross-functional, embedded teams with business stakeholders to rapidly deliver AI solutions to high-priority problems.
- Evaluating and integrating AI tools and frameworks (LLMs, vector databases, RAG, AI agents) into robust, scalable systems.
- Championing automation across the full AI lifecycle — from data ingestion and preprocessing to deployment and monitoring.
- Collaborating closely with data scientists, product managers, and engineers to ensure reliable end-to-end delivery.
- Contributing to internal tooling, documentation, and best practices to scale AI engineering capability.
What we’re looking for:
- Several years of professional software engineering experience, with a track record of shipping complex systems to production.
- Strong Python skills and experience building APIs, microservices, and backend systems.
- Solid understanding of software architecture, cloud infrastructure (AWS and/or Azure), and modern DevOps practices.
- Hands-on experience integrating ML models into production systems (LLMs via APIs, fine-tuning, RAG, embeddings, agents).
- Ability to move fast without compromising on code quality, testing, and operational excellence.
Nice to have:
- Experience with tools such as LangChain, LlamaIndex, Haystack, Hugging Face, Weaviate, CrewAI, AutoGen, or similar.
- Hands-on work with Retrieval Augmented Generation, AI agents, and agent orchestration frameworks.
- Experience working with unstructured data (documents, conversations, images).
- Background in platform engineering, internal developer tools, or forward-deployed/embedded team models.
- Experience building reliable, production-grade GenAI applications.
Contract details:
- Rate: £500 per day
- Location: Canary Wharf, London (3 days onsite per week)
- Eligibility: Must be UK-based
Artificial Intelligence Engineer in London employer: LT Harper Recruitment Group
Contact Detail:
LT Harper Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in London
✨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 cloud infrastructure. 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 common AI-related questions and be ready to discuss your past experiences with production-grade applications. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented AI Engineers. Keep an eye on our listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Artificial Intelligence Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your software engineering background, Python expertise, and any relevant projects you've worked on. We want to see how you can turn modern AI capabilities into high-impact applications!
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 hands-on experience aligns with our needs. Don’t forget to mention your approach to automation and collaboration in cross-functional teams.
Showcase Your Projects: If you've built any production-grade AI applications or tools, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve cloud-native design or integrating ML models into systems.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Let’s get started on this journey together!
How to prepare for a job interview at LT Harper Recruitment Group
✨Know Your AI Stuff
Make sure you brush up on the latest AI tools and frameworks mentioned in the job description. Familiarise yourself with concepts like LLMs, RAG, and the specific tools like LangChain or Hugging Face. Being able to discuss these intelligently will show that you're not just a candidate, but a passionate AI enthusiast.
✨Showcase Your Projects
Prepare to talk about your past projects where you've built production-grade AI applications. Highlight your experience with Python, APIs, and cloud infrastructure. Use specific examples to demonstrate how you’ve tackled challenges and delivered high-impact solutions.
✨Collaboration is Key
Since the role involves working in cross-functional teams, be ready to discuss how you've collaborated with data scientists, product managers, and other engineers. Share examples of how you’ve contributed to team success and how you handle differing opinions or challenges in a team setting.
✨Emphasise Automation
Automation is a big part of this role, so come prepared to discuss your experience with CI/CD practices and how you've championed automation in previous roles. Talk about specific instances where you’ve improved processes or reduced manual work through automation.