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- Tasks: Develop and deploy AI-driven applications using micro-services and data pipelines.
- Company: Join a pioneering company at the forefront of AI innovation in London.
- Benefits: Enjoy a hybrid work model, competitive salary, benefits, and share options.
- Why this job: Be part of a high-performance culture that values creativity and problem-solving.
- Qualifications: Experience with Python, JavaScript, LLMs, and cloud platforms is essential.
- Other info: This role offers a chance to influence the future of AI technology.
The predicted salary is between 56000 - 84000 £ per year.
Full Stack AI Engineer | AI-Powered Innovation | £70k-£100k + Benefits + Shares | London (Hybrid, 3 days a week)
Build the Future of AI-Powered Solutions
Are you a Full Stack AI Engineer looking for a role at the cutting edge of AI, Generative Models, and scalable cloud solutions? Do you thrive in fast-paced environments where your work directly influences the next generation of AI applications? If so, this is the opportunity for you.
Why Join?
- Develop and deploy scalable micro-services and data pipelines that power AI-driven applications.
- Gain hands-on experience with LLMs, fine-tuning, and AI-powered solutions to drive innovation.
- Design and implement quality assurance/testing frameworks to ensure robust AI performance.
- Work closely with AI specialists, engineers, and product leaders to solve complex technical challenges.
- Contribute to a high-performance engineering culture where solution design, problem-solving, and analytical skills are at the core.
What You’ll Bring
- Proven experience in micro-services architecture and data pipelines, ensuring seamless AI model integration.
- Strong software engineering background with Python, JavaScript/TypeScript, SQL Databases, and cloud platforms (AWS, GCP, or Azure).
- Hands-on experience with LLMs, including integration and fine-tuning in real-world applications.
- Proficiency in quality assurance, testing AI solutions, and ensuring model reliability.
- Strong technical problem-solving skills and the ability to design scalable AI-driven solutions.
- Expertise in data technologies and a structured, analytical approach to problem-solving.
Take the Next Step
If you're passionate about building AI-powered applications and want to work on cutting-edge AI innovations, this is your chance to make an impact. Join a company that’s redefining AI and be part of something extraordinary.
Apply now or reach out for a confidential chat.
AI Engineer - London employer: Transparent Technology
Contact Detail:
Transparent Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - London
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially around LLMs. Being able to discuss recent advancements or projects during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the AI community, particularly those who work with micro-services and data pipelines. Engaging in discussions or attending meetups can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your problem-solving skills through practical examples. Be ready to discuss specific challenges you've faced in previous roles and how you approached them, especially in relation to AI solutions.
✨Tip Number 4
Research StudySmarter's current projects and values. Understanding our mission and how your skills align with our goals can help you articulate why you're a great fit for the team during your interview.
We think you need these skills to ace AI Engineer - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with micro-services architecture, data pipelines, and relevant programming languages like Python and JavaScript. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your hands-on experience with LLMs and cloud platforms. Explain how your skills align with the company's mission and the specific challenges mentioned in the job description.
Showcase Relevant Projects: Include examples of projects where you've developed scalable AI solutions or worked with quality assurance/testing frameworks. This will help illustrate your technical problem-solving skills and your ability to contribute to a high-performance engineering culture.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a fast-paced environment.
How to prepare for a job interview at Transparent Technology
✨Showcase Your Technical Skills
Be prepared to discuss your experience with micro-services architecture, data pipelines, and the programming languages mentioned in the job description. Highlight specific projects where you've successfully integrated AI models using Python, JavaScript, or TypeScript.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your technical problem-solving skills. Prepare examples of complex challenges you've faced in previous roles and how you approached them, particularly in relation to AI-driven solutions.
✨Familiarise Yourself with LLMs
Since hands-on experience with LLMs is crucial for this role, be ready to discuss your familiarity with fine-tuning and integrating these models into applications. Share any relevant experiences that showcase your expertise in this area.
✨Understand Quality Assurance in AI
Quality assurance is key in AI applications. Be prepared to talk about your experience in designing testing frameworks and ensuring model reliability. Discuss any specific methodologies you've used to maintain high standards in AI performance.
