At a Glance
- Tasks: Lead the design and delivery of advanced AI systems for mission-critical environments.
- Company: Exciting deep-tech firm focused on AI for defence and national security.
- Benefits: Flexible hybrid work, enhanced pension, share options, and dedicated learning budget.
- Other info: Join a fast-paced scale-up environment with exceptional engineers.
- Why this job: Shape the future of AI technology with significant ownership and impact.
- Qualifications: Extensive experience in AI/ML systems and strong Python skills required.
The predicted salary is between 72000 - 88000 £ per year.
Defence | AI | Agentic Systems | Deep Tech | Mission-Critical Technology
Are you an experienced AI Engineer who wants to do more than build another chatbot, LLM wrapper or internal productivity tool?
We're partnered with one of the UK's most exciting and well-funded deep-tech companies, developing advanced AI and simulation technology used across defence, national security and government environments.
They're entering a significant phase of growth and are building a new generation of AI-powered products combining
LLMs, agentic workflows, advanced simulation and complex real-world data to solve problems where the technology genuinely matters.
They're now looking for a
Principal AI Engineer to become one of the senior technical voices within the AI function - remaining deeply hands-on while helping shape architecture, engineering standards and the technical direction of their AI capability.
This is an opportunity to have significant ownership in a rapidly evolving AI environment rather than simply joining an established team and maintaining what already exists.
- What You'll Be Doing
- Acting as a senior technical authority across AI engineering and architecture.
- Designing and delivering production-grade AI systems for complex, mission-critical environments.
- Building sophisticated applications using
LLMs, RAG, agentic workflows and AI orchestration .
- Defining architecture and technical direction for new AI capabilities.
- Evaluating emerging models, frameworks and approaches and determining where they can create genuine value.
- Taking AI solutions from experimentation and prototypes through to robust production environments.
- Working closely with Product, Engineering and Domain Experts to solve complex customer problems.
- Setting engineering standards and best practices across AI development, evaluation and deployment.
- Mentoring senior engineers and raising technical capability across the wider team.
- Remaining highly hands-on with engineering while influencing longer-term technical strategy.
What We're Looking For
- Significant commercial software engineering experience with a strong track record building production AI/ML systems .
- Deep hands-on experience developing applications using
LLMs and modern Generative AI technologies .
- Strong understanding of
RAG architectures, agentic workflows, LLM orchestration, evaluation frameworks, prompt engineering and fine-tuning .
- Excellent
Python engineering skills, with Type Script/Node. js experience highly valuable.
- Proven experience designing AI architectures and making high-level technical decisions.
- Experience taking AI products from early experimentation through to production.
- Comfortable operating in an environment where the architecture, tooling and frameworks are still evolving.
- Strong communication skills with the ability to explain and defend technical decisions.
- A customer and problem-first mindset - understanding the problem before reaching for the latest AI technology.
- Experience mentoring engineers and influencing technical direction without moving away from hands-on engineering.
- Ability to obtain
UK Security Clearance (SC) .
- Nice to Have
- Experience within defence, national security, aerospace, simulation or other mission-critical environments.
- Experience building multi-agent or autonomous AI systems .
- Knowledge of C++ or Rust.
- Experience working in an early-stage AI function or as one of the first senior AI engineers within a startup or scale-up.
- Exposure to simulation, digital twins, command & control or complex distributed systems.
Why Join?
- Join at a pivotal stage as the organisation significantly expands its AI capability.
- Become a key technical voice shaping how AI is engineered across the business.
- Work on AI problems far beyond standard chatbot and LLM-wrapper applications.
- Build technology operating at the intersection of
AI, simulation, defence and national security .
- Work alongside exceptional engineers on genuinely complex technical challenges.
- Significant technical ownership with the freedom to influence architecture and engineering direction.
- Fast-moving scale-up environment where ideas can reach production quickly.
- Highly flexible hybrid working model with a London office.
- Enhanced pension.
- Share options.
- Dedicated learning and development budget.
- Enhanced parental leave.
- Additional Christmas shutdown days.
Ready to help define the next generation of AI-powered defence and simulation technology?
Recognition One and our clients are proud to be equal opportunity employers.
We will consider qualified applicants without regard to race, colour, creed, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by applicable law.
We will also consider qualified applicants with arrest and conviction records consistent with local law.
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Principal AI Engineer employer: Recognition One
Join a pioneering deep-tech company at the forefront of AI innovation, where your expertise as a Principal AI Engineer will directly influence mission-critical technology in defence and national security. Enjoy a dynamic work culture that fosters creativity and technical ownership, alongside exceptional benefits such as a flexible hybrid working model, enhanced pension, and dedicated learning budgets. This is an unparalleled opportunity to grow within a rapidly expanding organisation, tackling complex challenges that truly matter.
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 Recognition One 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 Recognition One.
✨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 Recognition One.
✨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 Recognition One 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 Recognition One.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Recognition One 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 Recognition One
✨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 Recognition One 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.