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AI Engineering Internship

Min Experience

0 years

Location

remote

JobType

internship

About the job

Info This job is sourced from a job board

About the role

We are looking for an AI Engineering Intern to support our core AI features and infrastructure. You'll help improve the accuracy, speed, and intelligence of our interview assessment engine and job-matching models. This internship is ideal for computer science students or recent grads who are passionate about applied machine learning, prompt engineering, and building with large language models. Responsibilities: Help develop and evaluate prompt-based systems used in candidate feedback and interview scoring Collaborate with our engineering team to fine-tune model outputs Analyze product usage data and suggest ways to improve AI interactions Explore new use cases for LLMs across interview, resume, and job search workflows Contribute to performance benchmarks and internal QA testing of AI-driven features Qualifications: Currently pursuing (or recently completed) a degree in Computer Science, AI, or a related field Proficiency in Python and experience with libraries like scikit-learn, pandas, or LangChain Familiarity with LLM APIs (OpenAI, Claude, etc.) and prompt engineering principles Strong problem-solving skills and a passion for learning by doing Bonus: experience with NLP, recommender systems, or building AI-powered apps

About the company

At Asendia AI, we're building a smarter way for people to find jobs and get hired. Our mission is to make the hiring process faster, fairer, and more accessible — using the power of artificial intelligence. We're a venture-backed startup founded by engineers from Google and Microsoft. Our platform helps job seekers discover roles that fit, practice with Sarah (our AI career coach), and stand out in the application process — all in one place. We're already working with students from top universities like Stanford, Harvard, and UC Berkeley, and partnering with fast-growing tech companies to connect them with top talent. As a fast-paced startup, we value curiosity, initiative, and learning by doing. If you're excited by the idea of working on real projects, learning directly from founders, and being part of an ambitious early team — you'll fit right in.

Skills

python
scikit-learn
pandas
langchain
nlp
recommender systems