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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 will 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 in your discussions. Highlight specific projects where you've worked with LLMs or backend tools, as this will demonstrate your expertise directly related to the role.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in GenAI, especially those related to LangChain, LlamaIndex, and LangGraph. Being able to discuss these frameworks intelligently during conversations can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with cloud platforms like GCP or AWS. Be ready to provide examples of how you've utilised these services in past projects, particularly in relation to data-heavy applications and CI/CD pipelines.
✨Tip Number 4
Engage with the community around AI and machine learning. Join forums or groups where professionals discuss their experiences and challenges. This not only helps you stay updated but also gives you insights that could be valuable during your conversations with us.
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 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 FastAPI or Flask, and how your skills align with the needs of the GenAI project. Show enthusiasm for the role and the company.
Showcase Relevant Projects: If you have worked on data-heavy applications or ML projects, include these in your application. Briefly describe your role, the technologies used, and the impact of your work. This will demonstrate your practical experience and problem-solving skills.
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, which are crucial in a technical role.
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 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 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.
