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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
Artificial Intelligence Engineer employer: trg.recruitment
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 networking. Connect with professionals in the field on platforms like LinkedIn, and engage in discussions about LLMs and backend tools to demonstrate your expertise.
✨Tip Number 2
Join online communities or forums focused on GenAI and Python engineering. Participating in discussions or contributing to open-source projects can help you build connections and gain visibility among potential employers.
✨Tip Number 3
Consider attending virtual meetups or webinars related to AI and machine learning. These events are great opportunities to network with industry professionals and learn about the latest trends, which can give you an edge in interviews.
✨Tip Number 4
Familiarise yourself with the specific tools mentioned in the job description, such as FastAPI, Flask, and vector databases. Being able to discuss these technologies confidently in conversations will show your commitment and readiness for the role.
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 backend tools. Use keywords from the job description to catch the employer's attention.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the requirements of the AI Engineer position. Mention your familiarity with vector databases, multi-agent system patterns, and any experience with FastAPI or Flask. Show enthusiasm for the GenAI project.
Showcase Relevant Projects: If you have worked on data-heavy applications or ML projects, include these in your application. Briefly describe your role and the technologies used, especially if they relate to the job description.
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 LLMs, be ready to talk about your experience with frameworks 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 projects.
✨Prepare for Technical Questions
Expect technical questions related to vector databases and multi-agent system patterns. Brush up on these topics and be ready to provide insights or solutions based on your past experiences.
