At a Glance
- Tasks: Build innovative AI solutions and collaborate with clients on exciting projects.
- Company: Fast-growing AI consultancy with a focus on cutting-edge technology.
- Benefits: Up to £140k salary, equity, hybrid work, and continuous benefits improvement.
- Other info: Dynamic team environment with opportunities for professional growth.
- Why this job: Enhance your Python skills while diving into the world of AI.
- Qualifications: Strong Python development and data experience; some knowledge of LLMs/GenAI preferred.
The predicted salary is between 65250 - 79750 £ per year.
Do you want to get on the AI train? This is your chance.
You're going to be coming in to build out various AI solutions, specifically LLM/Gen AI products that have been designed for clients.
You'll be joining a team of AI Engineers who have the core AI experience, but in some cases aren't hardcore engineers who can build out the in-depth software backend.
That's where you'll come in.
This is still a heavily focused AI job, you'll be hands on with the AI solutions and the build into production, but the great part is that you don't have to be as strong on the AI side as the true AI Engineers, your key impact will come on the Python side.
Over time, you'll pick up the expert level skills in AI and vice versa for the others.
So, with that, it'll be no surprise that you're going to need to be a great Python software developer.
Additionally, strong experience working with data and building microservices will also be a huge plus.
Some experience with LLMs/Gen AI will be necessary but you don't need to be an expert.
You'll be joining a fast growing scale-up AI Consultancy who are working closely with clients across all industries to build cutting edge AI technology.
You will be liaising with these clients too, understanding their projects and building the solution collaboratively.
It's a hybrid working environment, with some need to travel to client site.
Starting salary will be up to £140,000 plus a range of benefits that are continuously improving as the company grows.
Want to build your AI skills whilst leveraging your Python development skills? Get in touch.
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Senior AI Engineer - up to £140k base + equity in London employer: Saragossa
Saragossa is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and creativity are highly valued. Located in a vibrant energy market, employees benefit from extensive professional growth opportunities, including training in advanced analytical tools and exposure to diverse structured transactions. Join us to be part of a forward-thinking team that not only supports your career development but also encourages meaningful contributions to the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer - up to £140k base + equity 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 Saragossa 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 Saragossa.
✨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 Saragossa.
✨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 Saragossa 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 - up to £140k base + equity 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 Saragossa.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Saragossa 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 Saragossa
✨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 Saragossa 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.
