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- Tasks: Develop backend code and APIs, focusing on prompt engineering and LLMs.
- Company: Join a well-established AI company tackling real-world issues like climate change.
- Benefits: Enjoy a salary up to £65k, bonuses, healthcare, and flexible working options.
- Why this job: Work on cutting-edge AI technologies in a supportive, diverse team environment.
- Qualifications: Strong Python skills, experience with LLMs, and a degree are required.
- Other info: Remote work one day a week and excellent training opportunities.
The predicted salary is between 42000 - 78000 £ per year.
Want to work on intellectually and technically challenging AI systems at the cutting edge of what is possible, whilst learning and collaborating with an amazing team and enjoying flexible working and a range of other perks?
You could be progressing your career as an AI Engineer at a well-established AI company acting as a tech incubator within the World Economic Forum to tackle issues like climate change, AI adoption, battery technology, and other real-world problems.
As an AI Engineer, you will develop backend code and APIs, focusing on prompt engineering and LLMs, collaborating with the Technical Architect to develop robust and highly performant solutions. You will work alongside a talented team, contributing ideas within a supportive and diverse environment.
Location / WFH:
Join a friendly and supportive team in London with flexibility to work from home one day a week.
About you:
- Strong Python development skills
- Experience with Langchain, Llama Index, and using Large Language Models for Generative AI
- Experience interfacing with database products/languages; Neo4J or other graph databases is a plus
- Experience creating and working with JSON-based REST APIs
- Keen to work in a start-up environment
- Excellent communication and collaboration skills
- Passionate about technology, keeping up-to-date with latest innovations and eager to learn
- Solid knowledge of software engineering principles, Agile practices, CI/CD, and ideally experience with cloud environments (AWS preferred)
- Proactive problem solver with commercial acumen
- Degree educated
What’s in it for you:
- Salary up to £65k
- Bonus
- Pension
- Healthcare
- Work with the latest cutting-edge AI technologies
- Excellent training and career development opportunities
Apply now to find out more about this AI Engineer / Developer (Python LLM) role.
At Client Server, we believe in a diverse workplace that allows people to play to their strengths and continually learn. We are an equal opportunities employer, welcoming applicants from all walks of life, and we do not discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
AI Engineer Python LLM employer: Onyx-Conseil
Contact Detail:
Onyx-Conseil Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer Python LLM
✨Tip Number 1
Familiarise yourself with the latest advancements in Large Language Models (LLMs) and prompt engineering. Being able to discuss recent developments or innovations in this area during your interview will demonstrate your passion and knowledge, making you a standout candidate.
✨Tip Number 2
Engage with the AI community by attending meetups, webinars, or online forums. Networking with professionals in the field can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Showcase your experience with Python and relevant technologies like Langchain and Llama Index through personal projects or contributions to open-source. Having tangible examples to discuss can illustrate your skills effectively during interviews.
✨Tip Number 4
Prepare to discuss your problem-solving approach and how you've applied Agile practices in past projects. Employers value candidates who can demonstrate a proactive mindset and adaptability, especially in a start-up environment.
We think you need these skills to ace AI Engineer Python LLM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python development skills and experience with Large Language Models. Include specific projects or roles where you've used Langchain, Llama Index, or worked with JSON-based REST APIs.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and eagerness to learn. Mention how your background aligns with the company's mission to tackle real-world problems and your interest in working within a start-up environment.
Showcase Relevant Experience: When detailing your work experience, focus on your collaboration skills and any Agile practices you've employed. Highlight your problem-solving abilities and any experience with cloud environments like AWS.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your application is clear, concise, and free of jargon, making it easy for the hiring team to understand your qualifications.
How to prepare for a job interview at Onyx-Conseil
✨Showcase Your Python Skills
Make sure to highlight your strong Python development skills during the interview. Be prepared to discuss specific projects where you've used Python, especially in relation to AI and LLMs, as this will demonstrate your technical expertise.
✨Familiarity with Relevant Technologies
Brush up on your knowledge of Langchain, Llama Index, and other relevant technologies. Be ready to explain how you've used these tools in past projects, as this will show your practical experience and understanding of the role's requirements.
✨Demonstrate Problem-Solving Skills
Prepare to discuss examples of how you've tackled complex problems in previous roles. Highlight your proactive approach and commercial acumen, as these qualities are essential for an AI Engineer working in a start-up environment.
✨Emphasise Communication and Collaboration
Since the role involves working closely with a team, be sure to convey your excellent communication and collaboration skills. Share experiences where you've successfully worked in a team setting, as this will align with the company's values of support and diversity.
