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- Tasks: Join a 10-week project as an AI Engineer, working with cutting-edge technologies.
- Company: Be part of a dynamic team focused on innovative GenAI solutions.
- Benefits: Enjoy fully remote work and competitive pay of £550 - £600 per day.
- Why this job: Make a real impact in AI while collaborating with talented professionals.
- Qualifications: Strong Python skills and experience with LLMs are essential.
- Other info: Contract starts on 19th May; perfect for those seeking short-term, high-impact work.
Contract Opportunity: AI Engineer (GenAI)
Fully Remote (UK-based)
Outside IR35 - £550 - £600 p/d DOE
Start Date: 19th May
10-week contract (Full time)
We are looking for a skilled Python engineer to support a 10-week GenAI project. You’ll be working with LLMs, agentic frameworks, and modern backend tools in a remote, collaborative setup.
What you will need:
- Strong Python engineering background (AI/ML or backend)
- Experience building with LLMs (LangChain, LlamaIndex, or LangGraph)
- Familiar with vector databases for embedding/indexing with images, audio, text and video
- Familiar with different multi-agent system patterns
- Comfortable with FastAPI or Flask
- Strong cloud experience (GCP or AWS)
Nice to have:
- GCP experience
- Background in ML projects
- Experience working on data-heavy applications
- Familiarity with CI/CD pipelines
If you are available from 19th May and interested in a short-term, high-impact GenAI project, get in touch if interested at: mmatysik@trg-uk.com
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Make sure to showcase your experience with Python and any relevant AI/ML projects during your conversations. Highlight specific examples where you've successfully implemented LLMs or worked with frameworks like LangChain or LlamaIndex.
✨Tip Number 2
Familiarise yourself with the latest trends in GenAI and multi-agent systems. Being able to discuss recent advancements or case studies can demonstrate your passion and knowledge in the field, making you a more attractive candidate.
✨Tip Number 3
If you have experience with cloud platforms like GCP or AWS, be prepared to discuss specific projects where you utilised these tools. This will show your practical understanding and ability to work in a cloud environment, which is crucial for this role.
✨Tip Number 4
Engage with the community around AI and machine learning. Join forums, attend webinars, or participate in discussions on platforms like GitHub or LinkedIn. Networking can lead to valuable insights and connections that may help you land the job.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python engineering background and any relevant experience with LLMs, cloud platforms like GCP or AWS, and multi-agent systems. Use keywords from the job description to catch their attention.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the requirements of the AI Engineer position. Mention your experience with FastAPI or Flask and any projects involving data-heavy applications to demonstrate your fit for the role.
Showcase Relevant Projects: If you have worked on projects involving GenAI, LLMs, or vector databases, be sure to include these in your application. Briefly describe your role and the impact of your contributions to highlight your expertise.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at trg.recruitment
✨Showcase Your Python Skills
Make sure to highlight your strong Python engineering background during the interview. Be prepared to discuss specific projects where you've used Python, especially in AI/ML or backend development.
✨Demonstrate Your Experience with LLMs
Since the role involves working with large language models, be ready to talk about your experience with tools like LangChain, LlamaIndex, or LangGraph. Share examples of how you've implemented these technologies in past projects.
✨Discuss Cloud Experience
As cloud experience is crucial for this position, ensure you can discuss your familiarity with GCP or AWS. Prepare to explain how you've utilised these platforms in previous roles, particularly in relation to AI and data-heavy applications.
✨Prepare for Technical Questions
Expect technical questions related to multi-agent system patterns and vector databases. Brush up on these topics and be ready to provide insights or solutions based on your past experiences.
