AI Engineer - Intern

Role Overview

NThread is building an AI-native talent intelligence platform designed to help companies make smarter hiring decisions. We are creating systems that combine AI reasoning, market intelligence and real-world recruiting context to help talent teams understand a role better, navigate the market and identify the right talent faster. We are an early-stage team, so this is not an internship where you will work on side projects. You will work directly on the intelligence behind the product.

Responsibilities

• Improve how platform understands roles — job titles, responsibilities, seniority, skills, industries, business models and hiring context.
• Build and test AI reasoning frameworks — help define how platform should think through different recruiting and talent-market problems.
• Create evaluation datasets — build high-quality examples across roles and functions to test whether answers, recommendations and rankings actually make sense.
• Evaluate AI outputs — review responses, search strategies and candidate recommendations and identify where the system is getting things wrong.
• Build rulebooks and few-shot examples for different roles, industries and hiring situations.
• Experiment with prompts, retrieval and context to improve answer quality and consistency.
• Help platform distinguish between a keyword match and genuine contextual fit.
• Work with company and talent data to identify patterns that can improve search and recommendation quality.
• Create test cases for difficult hiring problems and continuously challenge the system with edge cases.
• Work closely with engineering to convert successful experiments into repeatable product behaviour.

Requirements

• Deeply curious about LLMs, AI agents and reasoning systems.
• Experience experimenting with APIs, prompts, RAG, embeddings or LLM-based applications.
• Ability to think logically and break ambiguous problems into structured steps.
• Enjoy testing systems and figuring out why an AI answer is wrong.
• Comfortable working with datasets using Python, SQL or spreadsheets.
• Ability to research unfamiliar industries, companies and roles quickly.
• Strong attention to detail.
• Comfortable in an early-stage environment where problems are often undefined.