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- Tasks: Join us as a Research Assistant to prototype and test cutting-edge AI agents and LLMs.
- Company: US Tech Solutions is a global leader in staff augmentation and workforce solutions.
- Benefits: Enjoy flexible work options and a collaborative environment that fosters innovation.
- Why this job: Be at the forefront of AI technology, making a real impact while enhancing your skills.
- Qualifications: You need a degree in Computer Science and 2+ years in machine learning or natural language processing.
- Other info: This is a 3-month role with potential for extension; perfect for tech-savvy students!
Duration:- 03-month(Likely extension)
Role Overview:-
We are looking for a Research Assistant with 2+ years of experience in prototyping and testing AI agents or large language models (LLMs). You will design test prompts, experiment with prompt engineering, and debug AI agent tool calls within a Python/PHP software stack. You’ll also help create internal benchmarks to evaluate AI agent performance.
Key Responsibilities:-
- Create and refine test prompts to guide AI agents toward desired behavior.
- Implement and troubleshoot AI agent tool calls in a Python/PHP environment.
- Develop high-quality prompts to build internal evaluation benchmarks for AI agents.
- Test AI agents to assess their ability to perform tasks such as ordering, scheduling, or cancelling meetings.
- Analyze test outcomes, identify issues, and communicate findings for continuous improvement.
- Navigate and understand the Python codebase to correlate test results with underlying code.
- Improving and testing existing AI agents.
- Identifying where agents perform well and where they fail.
- Prompt testing and tuning to optimize agent responses.
- Flagging test results as pass/fail based on expected behavior.
Technical Skills & Qualifications:-
- Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
- 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing.
- Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files.
- Experience with AI agent frameworks such as Model Context Protocol (MCP) and LangChain.
- Familiarity with architectural patterns of large-scale software systems.
- Basic knowledge of SQL and data analysis is a plus.
- Experience using source control systems (e.g., Git).
- Experience in generative AI and LLM research preferred.
Essential Skills:-
- Python programming
- Generative AI knowledge
- Understanding of MCP servers and LangChain frameworks
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Recruiter Details:
Name:- Ajit Kumar
Email:- ajit.kumar@ustechsolutionsinc.com
Internal Id:- 25-00306
Research Assistant – AI Agents & LLM Prototyping employer: US Tech Solutions
Contact Detail:
US Tech Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant – AI Agents & LLM Prototyping
✨Tip Number 1
Familiarise yourself with the specific AI agent frameworks mentioned in the job description, such as Model Context Protocol (MCP) and LangChain. Having hands-on experience or projects that demonstrate your understanding of these frameworks can set you apart from other candidates.
✨Tip Number 2
Engage with the AI community by participating in forums or attending meetups focused on generative AI and LLMs. Networking with professionals in the field can provide insights into current trends and may even lead to referrals for the position.
✨Tip Number 3
Prepare to discuss your previous experiences with prototyping and testing AI agents. Be ready to share specific examples of how you've designed test prompts or debugged tool calls, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 4
Brush up on your Python skills, especially in relation to working with codebases that have multiple interrelated files. Consider creating a small project that showcases your ability to navigate and manipulate such code, as this could be a great talking point during interviews.
We think you need these skills to ace Research Assistant – AI Agents & LLM Prototyping
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in prototyping and testing AI agents or large language models. Include specific projects or roles that demonstrate your skills in Python programming and prompt engineering.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your relevant experience and enthusiasm for the role. Mention your familiarity with AI agent frameworks like MCP and LangChain, and how you can contribute to the team's goals.
Showcase Technical Skills: In your application, emphasise your technical skills, particularly in Python and any experience with SQL or data analysis. Provide examples of how you've used these skills in past projects or roles.
Prepare for Potential Questions: Think about potential interview questions related to AI agents and LLMs. Be ready to discuss your approach to testing and debugging, as well as how you analyse test outcomes and communicate findings.
How to prepare for a job interview at US Tech Solutions
✨Showcase Your Prototyping Experience
Be prepared to discuss your previous work with AI agents or large language models. Highlight specific projects where you designed test prompts or implemented AI agent tool calls, as this will demonstrate your hands-on experience and understanding of the role.
✨Demonstrate Your Python Proficiency
Since the role requires working within a Python/PHP environment, be ready to talk about your Python skills. You might even want to brush up on relevant libraries or frameworks that are commonly used in AI prototyping to show your technical depth.
✨Prepare for Technical Questions
Expect questions related to prompt engineering and debugging AI agents. Familiarise yourself with common challenges faced in these areas and think of examples from your past experiences where you successfully navigated similar issues.
✨Communicate Your Analytical Skills
The role involves analysing test outcomes and identifying issues. Be prepared to explain how you approach problem-solving and continuous improvement, perhaps by sharing a specific instance where your analysis led to significant enhancements in an AI project.