GenAI & Agentic Engineer β€” Scale Production AI (Hybrid) in London

GenAI & Agentic Engineer β€” Scale Production AI (Hybrid) in London

London Full-Time 60000 - 80000 Β£ / year (est.) Home office (partial)
Consulting Point

At a Glance

  • Tasks: Design and develop AI-powered applications, turning ideas into scalable solutions.
  • Company: Join Consulting Point, a leader in Data Science and AI.
  • Benefits: Enjoy a flexible hybrid work model and professional growth opportunities.
  • Other info: Dynamic team environment with exciting projects awaits you.
  • Why this job: Be at the forefront of AI innovation and make a real impact.
  • Qualifications: Experience in consulting, modern tech, and cloud frameworks required.

The predicted salary is between 60000 - 80000 Β£ per year.

Consulting Point is seeking GenAI and Agentic Engineers to join their Data Science and AI practice. You will design and develop AI-powered applications, collaborating with teams to transition early-stage PoCs into scalable solutions.

The ideal candidate has experience in a consulting environment, working with modern backend and frontend technologies, and proficiency in cloud frameworks. This role offers a flexible hybrid work model and opportunities for professional growth.

GenAI & Agentic Engineer β€” Scale Production AI (Hybrid) in London employer: Consulting Point

At Consulting Point, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a GenAI & Agentic Engineer, you will benefit from our flexible hybrid work model, extensive professional development opportunities, and the chance to work on cutting-edge AI projects that make a real impact. Join us in a vibrant environment where your contributions are valued and your career can flourish.

Consulting Point

Contact Details:

Consulting Point Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land GenAI & Agentic Engineer β€” Scale Production AI (Hybrid) 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 Consulting Point!

✨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 GenAI & Agentic Engineer β€” Scale Production AI (Hybrid) at Consulting Point.

✨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 Consulting Point.

✨Apply Directly through Our Website

When you find a suitable opening like GenAI & Agentic Engineer β€” Scale Production AI (Hybrid) at Consulting Point, 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 GenAI & Agentic Engineer β€” Scale Production AI (Hybrid) in London

AI-Powered Application Development
Consulting Experience
Backend Technologies
Frontend Technologies
Cloud Frameworks
Collaboration Skills
Scalable Solutions Design

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 Consulting Point, 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 Consulting Point. 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 Consulting Point

✨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 Consulting Point!

✨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.