At a Glance
- Tasks: Design and deploy AI-powered solutions that transform business operations.
- Company: Join a global energy trading leader investing in innovative AI technologies.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team where your contributions are valued from day one.
- Why this job: Make a real impact by applying AI to solve practical business challenges.
- Qualifications: Experience with Generative AI and tools like LangChain or OpenAI.
The predicted salary is between 80000 - 100000 £ per year.
We’re partnering with a global energy trading business that is investing heavily in Generative AI, building practical AI solutions that improve how teams work, analyse information and make decisions.
They’re looking for an Applied AI Engineer to help take AI from experimentation into real-world use, designing, building and deploying AI-powered workflows, assistants and agentic solutions.
This is a hands-on role sitting at the intersection of AI engineering, software development and business problem-solving.
You’ll work directly with commercial and technology teams to identify opportunities, build solutions and see the impact of what you create.
What you’ll be working on
- Building Gen AI applications, assistants and AI agents.
- Developing RAG workflows, knowledge bases and AI-enabled automation.
- Improving AI outputs through evaluation, testing and iteration.
- Working with stakeholders to turn business challenges into practical AI solutions.
What they’re looking for
- Experience building or implementing Generative AI solutions.
- Understanding of LLMs, RAG, embeddings and agentic workflows.
- Experience with tools/frameworks such as Lang Chain, Lang Graph, MCP, Open AI or Anthropic.
- Someone who enjoys working directly with users and turning ideas into production-ready solutions.
You’ll have the opportunity to build AI solutions that are used by real commercial teams, work on greenfield Gen AI initiatives, and take genuine ownership of how AI is adopted across a global business.
You’ll be joining a growing AI function at an exciting stage of its journey, where your work will have visible impact from day one.
If you’re passionate about applying AI to solve real business problems, this is a great opportunity to explore.
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Applied AI Engineer in London employer: Cititec
Cititec is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the commodities trading sector. With a focus on employee growth, the company provides ample opportunities for professional development while supporting a hybrid working model that promotes work-life balance. Joining Cititec means being part of a forward-thinking team dedicated to transforming the commodities risk landscape, making it a rewarding place for those seeking meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Cititec!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Applied AI Engineer at Cititec.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Cititec.
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We think you need these skills to ace Applied AI Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Cititec, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Cititec. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Cititec
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Cititec!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
