At a Glance
- Tasks: Design and implement cutting-edge AI agent systems for real business impact.
- Company: Forward-thinking financial services organisation leveraging AI and emerging technologies.
- Benefits: Competitive salary, strong career development prospects, and innovative projects.
- Other info: Work with the latest LLM technologies in a dynamic environment.
- Why this job: Join a team at the forefront of AI technology and make a difference.
- Qualifications: Master's or PhD in relevant fields and experience with AI agent systems.
The predicted salary is between 72000 - 88000 £ per year.
- Lead the design of cutting-edge AI agent systems and architectures
- Build scalable LLM-powered solutions with real business impact
- About Our Client
A forward-thinking financial services organisation at the forefront of leveraging AI and emerging technologies to solve complex business challenges.
Job Description
- Design and implement AI agent and multi-agent systems for complex business use cases.
- Build LLM-powered applications with advanced reasoning, planning, memory, and execution capabilities.
- Develop tool-integrated solutions that connect agents with APIs, databases, search platforms, and external services.
- Architect robust context management and workflow orchestration capabilities using modern agent frameworks.
- Research and evaluate emerging AI, LLM, and agent technologies to enhance existing products and platforms.
- The Successful Applicant
- Master's or Ph D in Computer Science, Data Science, Statistics, or a related discipline.
- Proven experience building AI agent systems and LLM-based applications beyond traditional chatbot solutions.
- Strong understanding of agent architectures, tool calling, function calling, memory management, and workflow orchestration.
- Hands-on experience with frameworks such as Lang Graph, Lang Chain, Llama Index, Auto Gen, or similar agent ecosystems.
- Expertise in LLM concepts including RAG, agentic reasoning, NLP, model behaviour, and system integration patterns.
- What's on Offer
- Opportunity to work on innovative AI products using the latest agent and LLM technologies.
- Competitive salary and benefits package with strong career development prospects.
- Contact: Manpreet Kaur
- Quote job ref: JN-
- #J-18808-Ljbffr
AI Engineer employer: Michael Page
At Michael Page, we pride ourselves on being an excellent employer that champions community impact through our Social Value Lead role. Our supportive work culture fosters collaboration and innovation, providing employees with ample opportunities for professional growth while making a meaningful difference in the property industry. Located in a vibrant area, we offer competitive salaries and a commitment to employee well-being, ensuring that you thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨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 Michael Page!
✨Show Off Your Projects
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 AI Engineer at Michael Page.
✨Leverage Professional Networks
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 Michael Page.
✨Apply Directly through Our Website
When you find a suitable opening like AI Engineer at Michael Page, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Engineer
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 Michael Page, 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 Michael Page. 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 Michael Page
✨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 Michael Page!
✨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.
