At a Glance
- Tasks: Build AI-driven solutions using Python and Azure for document extraction and data processing.
- Company: Join a high-profile programme at the forefront of AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and technical ownership.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: 5+ years in software engineering with strong Python and LLM experience.
The predicted salary is between 63000 - 77000 £ per year.
We're looking for a Senior AI Engineer to join a high-profile programme delivering AI-driven solutions using Python, Azure Open AI, and LLMs.
Key Responsibilities
- Build and enhance LLM-powered document extraction pipelines.
- Develop solutions for PDF processing, OCR, entity matching, and structured data extraction.
- Improve accuracy through testing, evaluation, and regression frameworks.
- Scale services using Azure, Fast API, Terraform, and Azure Dev Ops.
- Collaborate with senior engineers and stakeholders to drive technical decisions.
Essential Skills
- 5+ years' software engineering experience.
- 2+ years working with LLMs and Generative AI solutions.
- Strong Python and Fast API development experience.
- Hands-on experience with Azure Open AI and Azure cloud services.
- Experience processing and extracting data from complex documents.
- Strong testing and CI/CD experience.
Desirable
- OCR solutions
- Databricks
- Energy sector or Public Sector experience
Terraform and Cosmos DBThis is an excellent opportunity to work on a cutting-edge AI programme with real technical ownership and a modern Azure-based technology stack.
Senior AI Engineer (LLM / Azure) in London employer: GCS
As a Social Media & Community Manager at our company, you'll thrive in a dynamic and supportive work environment that values creativity and innovation. We offer comprehensive benefits, opportunities for professional development, and a culture that encourages collaboration and open communication. Located in a vibrant area, our team enjoys a unique blend of work-life balance and community engagement, making it an excellent place to grow your career while making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (LLM / Azure) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at GCS or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to GCS.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like GCS.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like GCS that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Engineer (LLM / Azure) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at GCS.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at GCS and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at GCS
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If GCS uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
