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- Tasks: Join a leading tech giant as a Research Assistant, focusing on AI agent prototyping and testing.
- Company: Work with a top 5 tech company known for innovation and cutting-edge technology.
- Benefits: Enjoy a competitive hourly rate, hybrid work model, and opportunities for professional growth.
- Why this job: Be part of groundbreaking AI research that shapes the future of technology and impacts society.
- Qualifications: Bachelor's degree in a relevant field and 2+ years of experience in AI and machine learning.
- Other info: Applications close on 18/08 at 12pm, so don't miss out!
The predicted salary is between 60000 - 84000 £ per year.
Job Description
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
Network with professionals in the AI and machine learning fields. Attend meetups, webinars, or conferences where you can connect with people who work at tech companies, especially those involved in research roles. This can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Familiarise yourself with the latest trends and advancements in generative AI and LLMs. Follow relevant blogs, podcasts, and research papers to stay updated. This knowledge will not only help you in interviews but also demonstrate your genuine interest in the field.
✨Tip Number 3
Prepare to discuss your previous projects involving AI agents or LLM models in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will showcase your hands-on experience and problem-solving skills.
✨Tip Number 4
Practice coding challenges in Python that are relevant to AI and machine learning. Websites like LeetCode or HackerRank can be great for this. Being able to demonstrate your programming skills in real-time can set you apart from other candidates.
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 AI, machine learning, and programming with Python. Include specific projects or roles where you've prototyped or tested AI agents.
Craft a Strong Cover Letter: Write a cover letter that directly addresses the job description. Mention your 2+ years of experience and how it aligns with the responsibilities of creating test prompts and debugging AI tools.
Showcase Relevant Skills: In your application, emphasise your programming skills in Python and any hands-on experience with AI frameworks like LangChain. Provide examples of how you've used these skills in past projects.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is crucial in research roles.
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 in Python and any hands-on work you've done with AI agent frameworks like Model Context Protocol or LangChain. Be prepared to discuss specific projects where you applied these skills.
✨Demonstrate Your Research Experience
Since the role requires research or prototyping experience in machine learning, deep learning, or natural language processing, come ready to talk about your past projects. Share insights on how you approached problem-solving and what methodologies you used.
✨Prepare for Technical Questions
Expect technical questions related to AI agents and LLM models. Brush up on your knowledge of prompt engineering and be ready to discuss how you would create test prompts or debug AI agent tool calls in a Python/PHP stack.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's projects and future directions. Inquire about their current challenges in AI research or how they measure the success of their AI agents.
