At a Glance
- Tasks: Assist in prototyping and testing AI agents, creating test prompts, and debugging tools.
- Company: Join a cutting-edge tech company focused on AI innovation in London.
- Benefits: Enjoy a hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: This is a 4-month contract role with flexible working arrangements.
- Why this job: Be part of an exciting field, working with advanced AI technologies and making a real impact.
- Qualifications: Bachelor's degree in a relevant field and 2+ years of experience in AI research or prototyping.
Overview
Lead Recruiter at Russell Tobin UK/Ireland/Netherlands
Contract
4 months contract / Hybrid 3 days in office / London / Rate Paye Inside IR 35 42.79 - 53 per hour
Role
Research assistant with 2+ years of experience prototyping and testing AI agents and/or LLM models.
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 Meta 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.
Seniority level
- Associate
Employment type
- Contract
Job function
- Research and Engineering
Industries
- Software Development
Engineering Research Assistant in London employer: Russell Tobin
As an Engineering Research Assistant at our London office, you will be part of a dynamic and innovative team dedicated to advancing AI technology. We offer a collaborative work culture that fosters creativity and professional growth, with opportunities to engage in cutting-edge research and development. Our hybrid work model ensures flexibility while being part of a vibrant city known for its tech advancements, making us an excellent employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Research Assistant in London
✨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 in similar roles. This can lead to valuable insights and potential referrals.
✨Tip Number 2
Showcase your hands-on experience with AI agent frameworks like Model Context Protocol and LangChain. If you have personal projects or contributions to open-source projects, be ready to discuss these during interviews to demonstrate your practical skills.
✨Tip Number 3
Stay updated on the latest trends and advancements in generative AI and LLM research. Follow relevant blogs, podcasts, and research papers to ensure you can speak knowledgeably about current developments during your interviews.
✨Tip Number 4
Prepare to discuss specific examples of how you've created test prompts and experimented with different formulations in past roles. Being able to articulate your thought process and results will set you apart from other candidates.
We think you need these skills to ace Engineering Research Assistant in London
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 machine learning, deep learning, and natural language processing.
Craft a Strong Cover Letter:In your cover letter, express your enthusiasm for the role and how your background aligns with the responsibilities listed. Mention your programming experience in Python and any hands-on work with AI agent frameworks like LangChain.
Showcase Relevant Projects:If you have worked on projects related to AI agents or generative AI, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved to demonstrate your practical experience.
Highlight Educational Background:Clearly state your educational qualifications, especially if you hold a degree in Computer Science or a related field. If you have taken any relevant courses or certifications, mention those as well to strengthen your application.
How to prepare for a job interview at Russell Tobin
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any AI agent frameworks you've worked with, such as Model Context Protocol or LangChain. Bring examples of your past projects that demonstrate your ability to prototype and test AI agents.
✨Understand the Role's Responsibilities
Familiarise yourself with the specific tasks mentioned in the job description, like creating test prompts and debugging AI agent tool calls. This will help you articulate how your skills align with their needs during the interview.
✨Prepare for Problem-Solving Questions
Expect to face technical questions or scenarios where you'll need to demonstrate your problem-solving abilities. Practice explaining your thought process clearly and concisely, especially in relation to AI and machine learning challenges.
✨Research the Company Culture
Take some time to learn about the company's values and work environment. Being able to discuss how you fit into their culture can set you apart from other candidates and show your genuine interest in the position.
