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- Tasks: Join a 10-week project as an AI Engineer, working with cutting-edge GenAI technologies.
- Company: Be part of a dynamic team focused on innovative AI solutions in a fully remote environment.
- Benefits: Enjoy the flexibility of remote work and competitive daily rates outside IR35.
- Why this job: Make a real impact in AI while collaborating with talented professionals in a supportive culture.
- Qualifications: Strong Python skills and experience with LLMs and cloud platforms are essential.
- Other info: Contract starts on 19th May; perfect for those seeking short-term, high-impact opportunities.
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 LLMs and any specific frameworks like LangChain or LlamaIndex during your conversations. Highlighting your hands-on projects can really set you apart.
✨Tip Number 2
Familiarise yourself with the latest trends in AI and GenAI, especially around multi-agent systems. Being able to discuss recent advancements or case studies can demonstrate your passion and knowledge in the field.
✨Tip Number 3
Prepare to discuss your cloud experience, particularly with GCP or AWS. Be ready to share specific examples of how you've utilised these platforms in past projects, as this is crucial for the role.
✨Tip Number 4
Network with professionals in the AI space, especially those who have worked on similar projects. Engaging in relevant online communities or forums can provide insights and potentially lead to referrals.
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 experience with multi-agent systems and vector databases, and explain how your skills align with the project goals.
Showcase Relevant Projects: If you have worked on projects involving AI/ML, especially those using FastAPI or Flask, be sure to include these in your application. Provide links to your GitHub or portfolio to demonstrate your capabilities.
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.
