AI Engineer: Ship Real-World AI Features (Remote)

AI Engineer: Ship Real-World AI Features (Remote)

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build AI-powered features using cutting-edge tech and real-world applications.
  • Company: Tony Knows, a forward-thinking company focused on innovative AI solutions.
  • Benefits: Flexible remote work, competitive pay, and opportunities for hands-on project experience.
  • Other info: Dynamic role with a focus on practical experience and growth in AI technology.
  • Why this job: Join a team that ships real software and makes a tangible impact in AI.
  • Qualifications: Strong skills in Python or TypeScript; a solid portfolio is a plus.

The predicted salary is between 50000 - 70000 £ per year.

Tony Knows is looking for an AI Engineer in the UK to build AI-powered features by integrating large language models, vector databases, and APIs into real products. The ideal candidate will enjoy shipping working software and will have strong skills in Python or TypeScript, LLM APIs, RAG, and vector DBs.

Qualifications are helpful but a strong portfolio can suffice. The role offers flexibility in working style and requires a commitment to practical project experience.

AI Engineer: Ship Real-World AI Features (Remote) employer: Tony Knows

At Tony Knows, we pride ourselves on being an excellent employer by fostering a flexible and innovative work culture that empowers our AI Engineers to thrive. Our remote position allows for a balanced work-life integration while providing ample opportunities for professional growth through hands-on project experience and collaboration with cutting-edge technologies. Join us to be part of a dynamic team that values creativity and practical contributions in the exciting field of AI.

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Contact Details:

Tony Knows Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer: Ship Real-World AI Features (Remote)

Tip Number 1

Show off your skills! Create a portfolio that highlights your best projects, especially those involving AI features. We want to see how you’ve integrated LLM APIs and vector databases into real-world applications.

Tip Number 2

Network like a pro! Connect with other AI enthusiasts and professionals on platforms like LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.

Tip Number 3

Prepare for practical tests! Many companies, including us, might ask you to demonstrate your coding skills or solve real problems during the interview. Brush up on Python or TypeScript and be ready to showcase your problem-solving abilities.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to apply directly!

We think you need these skills to ace AI Engineer: Ship Real-World AI Features (Remote)

Python
TypeScript
LLM APIs
RAG
Vector Databases
Software Development
Integration Skills

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with Python or TypeScript, LLM APIs, and vector databases. We want to see what you've built, so include links to your projects or a portfolio that showcases your best work!

Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your skills align with the role of AI Engineer. We love seeing candidates who understand our needs and can demonstrate their fit.

Be Practical:Since we’re all about shipping real-world features, share examples of practical projects you’ve worked on. We want to know how you’ve applied your skills in real scenarios, so don’t hold back on the details!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you get all the latest updates from us. Plus, it shows you’re keen to join our team!

How to prepare for a job interview at Tony Knows

Showcase Your Projects

Make sure to bring along a portfolio that highlights your best work. Discuss specific projects where you've integrated large language models or vector databases, and be ready to explain the challenges you faced and how you overcame them.

Brush Up on Your Tech Skills

Since the role requires strong skills in Python or TypeScript, take some time to review key concepts and recent developments in these languages. Be prepared to answer technical questions or even solve coding problems during the interview.

Understand the Company’s Vision

Research Tony Knows and their approach to AI features. Understanding their products and how they leverage AI will help you align your answers with their goals and demonstrate your genuine interest in the role.

Prepare for Practical Scenarios

Expect to discuss real-world applications of AI and how you would approach building features. Think about how you would integrate APIs and what considerations you'd have for user experience, as this will show your practical mindset.