At a Glance
- Tasks: Lead the design and delivery of transformative AI systems that impact science and data interaction.
- Company: Join a global tech organisation at the forefront of AI and life sciences.
- Benefits: Competitive salary up to £120,000, 10% bonus, and hybrid work options.
- Other info: Opportunity to influence mission-critical platforms and drive innovation in AI.
- Why this job: Shape the future of AI with real-world applications and meaningful challenges.
- Qualifications: Strong software engineering skills and hands-on experience with LLMs required.
The predicted salary is between 80000 - 100000 £ per year.
Building AI products that genuinely impact the future of science, DeepRec.ai is partnering with a global technology organisation operating at the intersection of AI, data, and life sciences to hire a Principal Software Engineer specialising in Generative AI. This is a rare opportunity to move beyond prototypes and help build production‑grade AI systems that transform how scientists and enterprises interact with complex data. You’ll be leading the design and delivery of GenAI capabilities across large-scale platforms – taking ideas from concept through to real‑world adoption.
What you’ll be working on:
- Architecting and deploying LLM-powered applications
- Building AI systems around RAG, intelligent search, summarisation, and automation
- Designing scalable AI‑ready data architectures
- Taking GenAI solutions from PoC through to production
- Setting engineering standards for reliability, evaluation, monitoring, and performance
- Providing technical leadership across high‑performing engineering teams
We’d love to speak with engineers who have:
- Strong software engineering foundations
- Hands‑on experience building with LLMs
- Knowledge of cloud‑native architectures
- A passion for applying AI to solve meaningful, complex problems
Bonus points for experience across:
- AI governance, agents, or enterprise AI platforms
This isn’t another “add AI onto an existing product” role – this is about shaping how AI becomes embedded into mission‑critical platforms used globally. If you’re interested in building AI that moves beyond experimentation and delivers real‑world impact, I’d be happy to share more details. Reach out for a confidential conversation.
Principal AI Engineer employer: DeepRec.ai
At DeepRec.ai, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of Greater London. Our hybrid work culture promotes flexibility while providing ample opportunities for professional growth and development, allowing you to lead transformative AI projects that make a real difference in the life sciences sector. Join us to be part of a dynamic team where your expertise in Generative AI will not only be valued but will also play a crucial role in shaping the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Engineer
✨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 DeepRec.ai 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 DeepRec.ai.
✨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 DeepRec.ai.
✨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 DeepRec.ai 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 Principal AI Engineer
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 DeepRec.ai.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at DeepRec.ai 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 DeepRec.ai
✨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 DeepRec.ai 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.
