At a Glance
- Tasks: Build and deploy cutting-edge AI applications that transform the way people work.
- Company: Join a forward-thinking organisation investing heavily in AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and continuous learning.
- Why this job: Make a real-world impact while working with the latest advancements in Generative AI.
- Qualifications: Experience in AI applications, strong Python skills, and a solid understanding of machine learning.
The predicted salary is between 63000 - 77000 £ per year.
We're working with an organisation that's making a significant investment in AI, building intelligent products that are transforming the way people work.
As part of a growing engineering team, you'll play a key role in designing and delivering production AI applications with real-world impact.
This is a hands-on opportunity for someone who enjoys taking ideas from concept through to deployment while working with the latest advancements in Generative AI.
The Role
- Build and deploy production-grade AI applications using modern LLMs.
- Design scalable AI solutions that solve complex business challenges.
- Evaluate and improve model performance through experimentation and testing.
- Work closely with users to iterate quickly and deliver high-quality products.
- Keep up to date with the latest developments across the AI ecosystem.
What We're Looking For
- Commercial experience building AI applications with LLMs.
- Strong Python engineering skills and experience shipping production code.
- Experience with RAG, prompt engineering, model evaluation or fine-tuning.
- Knowledge of modern front-end technologies is beneficial.
- Strong understanding of machine learning fundamentals.
- Degree in Computer Science, Mathematics or another quantitative discipline (or equivalent industry experience).
- Experience with cloud platforms and modern engineering practices is a plus.
- #J-18808-Ljbffr
Generative AI Engineer - Build & Deploy Production AI Apps in England employer: Harrington Starr
Join a dynamic and innovative capital markets technology business in London, where your contributions as a Junior Account Manager will directly impact client success and company growth. With a strong emphasis on employee development, a collaborative work culture, and competitive benefits, this role offers you the chance to thrive in a fast-paced environment while building meaningful relationships with clients and colleagues alike. Experience the unique advantage of working in a scaling firm backed by a leading growth investor, providing ample opportunities for professional growth and advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer - Build & Deploy Production AI Apps in England
✨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 Harrington Starr 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 Harrington Starr.
✨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 Harrington Starr.
✨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 Harrington Starr 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 Generative AI Engineer - Build & Deploy Production AI Apps in England
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 Harrington Starr.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Harrington Starr 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 Harrington Starr
✨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 Harrington Starr 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.
