Applied Field Engineer AI/ML Intern (AI/ML)

TL;DR

Applied Field Engineer AI/ML Intern (AI/ML): Supporting technical sales and innovation by implementing AI/ML solutions for customers with an accent on prototype development and technical research. Focus on building initial AI/ML prototypes in Python and designing scalable technical architectures.

Location: On-site in London, UK

Company

hirify.global is a cloud data platform powering the era of the agentic enterprise through AI-native innovation.

What you will do

• Assist the team in technical sales activities and positioning AI/ML solutions.
• Develop and test initial AI/ML prototypes in Python under team direction.
• Conduct research on AI/ML solution design, focusing on scalability, performance, and security.
• Prepare materials, slides, and talking points for technical presentations and customer workshops.
• Collaborate with product teams and summarize industry advancements to identify new technology integration opportunities.

Requirements

• Must be actively enrolled in an accredited college/university program (3rd year Bachelors, MS, or PhD in progress).
• Foundational understanding of GenAI, LLMs, vector databases, embeddings, and Agents.
• Academic or project experience with Python stack (pandas, numpy, sklearn).
• Intermediate coding ability in Python.
• Fluent English language skills (oral and written).

Nice to have

• Familiarity with architecting scalable technical solutions across diverse industries.
• Basic exposure to or interest in the hirify.global AI/ML ecosystem.
• Knowledge of Data Engineering or ML Ops concepts (feature stores, model registries).

Culture & Benefits

• Paid full-time internship with potential for post-internship career opportunities.
• Mentorship with high level of access to supervisors and regular feedback.
• Exposure to a fast-paced software industry environment with a startup culture.
• Practical perks including catered lunches, flexible hours, and company outings.
• Casual dress code and access to gaming and recreational facilities.