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- Tasks: Join us as an Applied AI Engineer to build cutting-edge AI solutions for real-world problems.
- Company: We're a stealth AI startup backed by top investors, revolutionising enterprise workflows with generative AI.
- Benefits: Enjoy a competitive salary, equity options, hybrid work, private healthcare, and annual off-site retreats.
- Why this job: Make a significant impact in a high-growth company while working with advanced AI technologies and skilled teams.
- Qualifications: Strong computer science fundamentals and 2+ years of experience deploying large language models are essential.
- Other info: Visa sponsorship available for exceptional talent already eligible to work in the UK.
The predicted salary is between 104000 - 116000 £ per year.
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This range is provided by Stealth AI Startup. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Stealth AI Startup
Fractional Talent Partner at Cult Mia, Housr, InvestorHub, Levellr & Trusted. Fuel Ventures Portfolio Talent Partner. Fixed-Fee & Subscription Model…
About us
We are a seed-stage AI start-up backed by leading European and US investors . Our founders have delivered cutting-edge AI at world-class research labs and high-growth technology companies. Now, operating in stealth, we apply next-generation agentic AI to overhaul mission-critical enterprise workflows that still depend on error-prone, manual processes.
Our vision is to bring these high-value operations into the modern era, making them quicker, safer and far more resilient through thoughtful, responsible deployment of generative AI, with ethics and safety embedded from day one.
Why this role is so exciting!
- Help build the future of AI in a three-trillion-pound market, working with clean, well-structured data and small, highly skilled teams.
- Tackle problems that keep society functioning, from ensuring essential medicines reach hospitals to securing critical services
- Make a huge personal impact at an early stage, high-growth company where every line of code ships to production.
- Work on cutting-edge agentic AI while learning directly from leaders in the field.
The opportunity
As an Applied AI Engineer you will own the most advanced piece of our product: autonomous, multi-agent language-model systems. Working side by side with the CTO, you will experiment with new models and frameworks, then turn discoveries into production-grade solutions for esteemed enterprise clients. You will architect and build data pipelines and APIs that feed terabytes of real-world data into our AI stack, and you will guide projects from whiteboard to customer training.
What you will do
- Build and deploy agentic LLM workflows that automate supplier discovery, risk monitoring and cost analysis.
- Lead projects end to end: architecture, modelling, coding, DevOps, rollout and customer enablement.
- Design frameworks for safe and robust multi-agent collaboration, including conflict resolution and self-reflection loops.
- Develop benchmarking suites that measure performance, safety and behaviour across domains.
- Create tooling that connects language models to client systems such as ERP platforms and custom APIs.
- Collaborate directly with executives and end users to refine requirements, demo prototypes and ensure delivered value.
What good looks like in this role
- Exceptionally strong computer-science fundamentals and the ability to implement complex solutions efficiently.
- At least two years of hands-on experience deploying large language models to production with robust evaluation, guard-railing and monitoring.
- A Master’s degree in AI or Computer Science from a top-tier research university
Nice to have
- Experience with multi-agent frameworks, retrieval-augmented generation or vector-search architectures.
- Familiarity with large-scale, data-rich business domains such as operations, finance or analytics.
What we\’re offering:
- Base salary from £130,000 – £140,000. .. plus meaningful equity in a company pre Series A.
- We\’re a hybrid team – 3 days a week in the office (we believe in the power of in-person collaboration and learning by osmosis).
- Private healthcare, pension scheme and an annual off-site to disconnect and recharge.
- Visa sponsorship available for exceptional talent already eligible to work in the UK (must be based in the UK already)
- An opportunity to define the engineering culture and leave your mark on technology that could reshape a vast, underserved market.
Interview Process:
- Initial candidate screening (30 mins) : this first step is an opportunity for us to learn more about your goals, interests, and how they align with the role.
- Design interview with the CTO (45 mins): in this step, we present you with real problems we encounter, and we ask you to design a solution in a whiteboarding exercise.
- In-person interview (half-day, paid): for the final step, we invite you to come meet the team in-person and work alongside us! We find this is the best way for candidates to get a sense of what working here is like
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Technology, Information and Internet
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Applied AI Engineer (LLM) employer: Stealth AI Startup
Contact Detail:
Stealth AI Startup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer (LLM)
✨Tip Number 1
Familiarise yourself with the latest advancements in large language models and agentic AI. Being able to discuss recent developments or breakthroughs during your interview will show your passion and expertise in the field.
✨Tip Number 2
Prepare to demonstrate your problem-solving skills through practical examples. Since the role involves designing solutions for real-world problems, think of specific challenges you've faced and how you tackled them using AI technologies.
✨Tip Number 3
Network with professionals in the AI community, especially those who have experience in multi-agent frameworks or large-scale data applications. Engaging with industry peers can provide insights and potentially lead to referrals.
✨Tip Number 4
Be ready to discuss your experience with DevOps practices and how they relate to deploying AI solutions. Understanding the deployment pipeline is crucial for this role, so highlight any relevant projects where you’ve successfully integrated AI into production.
We think you need these skills to ace Applied AI Engineer (LLM)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with large language models and any relevant projects you've worked on. Emphasise your computer science fundamentals and hands-on experience in deploying AI solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with the company's mission. Mention specific projects or experiences that demonstrate your ability to tackle complex problems in AI.
Showcase Relevant Projects: Include a portfolio or links to projects that showcase your work with agentic AI, multi-agent frameworks, or any relevant technologies. This will help illustrate your practical experience and problem-solving skills.
Prepare for Technical Interviews: Review common technical interview questions related to AI and software engineering. Be ready to discuss your previous work and how you would approach real-world problems presented during the interview process.
How to prepare for a job interview at Stealth AI Startup
✨Understand the Company’s Vision
Before your interview, make sure you grasp the company's mission and how they aim to revolutionise enterprise workflows with AI. This will help you align your answers with their goals and demonstrate your genuine interest in their work.
✨Prepare for Technical Challenges
Given the role's focus on building and deploying LLM workflows, be ready to tackle technical problems during the design interview. Brush up on your knowledge of multi-agent systems and be prepared to whiteboard your solutions clearly and effectively.
✨Showcase Your Experience
Highlight your hands-on experience with large language models and any relevant projects you've worked on. Be specific about your contributions and the impact they had, as this will illustrate your capability to handle the responsibilities of the role.
✨Engage with the Team
During the in-person interview, take the opportunity to interact with potential colleagues. Ask questions about their experiences and the company culture. This not only shows your enthusiasm but also helps you assess if the environment is a good fit for you.
