Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Research Assistant, creating and testing AI prompts daily.
- Company: Work with a top 5 tech giant in the heart of London.
- Benefits: Enjoy a competitive rate, hybrid work, and a vibrant tech culture.
- Why this job: Dive into cutting-edge AI research and make a real impact in technology.
- Qualifications: Bachelor's degree in a tech field and 2 years of relevant experience required.
- Other info: Applications close on 18/08 at 12pm, so don't miss out!
The predicted salary is between 60000 - 84000 £ per year.
This client are a top 5 tech giant
Research Assistant
Location: London, Kings Cross
Length: Asap – December 2025
Rate: From £42.79+ per hour (From 89K+ salary equivalent) (Inside IR35)
Hours: 40 hours per week (Hybrid, 3 days onsite)
Overview:
Our client is looking for a Research assistant with 2+ years of experience prototyping and testing AI agents and/or LLM models.
Role Responsibilities:
- Create test prompts for AI agent. Experiment with different prompt formulations to steer AI Agent towards ideal behavior.
- Implement and debug AI agent tool calls in a python / PHP SW stack.
- Assemble high quality prompts to create client internal benchmarks for AI agents similar to MLEBench and BFCL.
Qualifications:
- Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Research or prototyping experience in machine learning, deep learning, and/or natural language processing.
- Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol.
- LangChain.
- Exposure to architectural patterns of large scale software applications.
- Preferred: Direct experience in generative AI and LLM research.
Must have skills:
- Python-programming
- Generative AI
- Understanding of MCP servers/LangChain
Apply Now! The closing date for applications is 18/08 12pm
Research Assistant employer: Career Moves Group I B Corp™
Contact Detail:
Career Moves Group I B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant
✨Tip Number 1
Familiarise yourself with the latest advancements in generative AI and LLM research. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI and machine learning community. Attend meetups or webinars where you can connect with others in the field, as personal connections can often lead to job opportunities.
✨Tip Number 3
Brush up on your Python programming skills, especially focusing on libraries and frameworks relevant to AI agents. Being able to demonstrate your coding abilities in practical scenarios can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous experience with prototyping and testing AI agents. Be ready to share specific examples of challenges you faced and how you overcame them, as this will showcase your problem-solving skills.
We think you need these skills to ace Research Assistant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in prototyping and testing AI agents or LLM models. Include specific projects or roles that demonstrate your skills in Python programming and generative AI.
Craft a Strong Cover Letter: Write a cover letter that connects your background in machine learning, deep learning, and natural language processing to the responsibilities of the Research Assistant role. Mention your familiarity with AI agent frameworks like Model Context Protocol and LangChain.
Showcase Relevant Projects: If you have worked on any projects related to AI agents or large-scale software applications, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a research role.
How to prepare for a job interview at Career Moves Group I B Corp™
✨Showcase Your Technical Skills
Make sure to highlight your programming experience, especially in Python. Be prepared to discuss specific projects where you've implemented AI agents or worked with LLM models, as this will demonstrate your hands-on expertise.
✨Prepare for Technical Questions
Expect questions related to machine learning, deep learning, and natural language processing. Brush up on key concepts and be ready to explain how you've applied them in your previous roles, particularly in prototyping and testing.
✨Demonstrate Problem-Solving Abilities
During the interview, you may be asked to solve a problem or debug a piece of code. Practice explaining your thought process clearly and logically, as this will show your analytical skills and ability to work through challenges.
✨Familiarise Yourself with Their Tools
Research the specific AI agent frameworks mentioned in the job description, such as Model Context Protocol and LangChain. Being knowledgeable about these tools will not only impress your interviewers but also show your genuine interest in the role.
