AI Engineer Intern
About the role
This internship offers students or recent graduates the chance to work as AI Engineer Interns with a focus on full-stack development. Interns will develop and maintain web applications, build and integrate AI-powered features using Large Language Models (LLMs), and collaborate with product and engineering teams. The role involves working on AI workflows, prompt engineering, automation solutions, and contributing to scalable, user-friendly applications. Candidates should have exposure to full-stack development, experience with AI technologies, and a strong interest in AI and emerging technologies. The internship is remote, with a preference for UK-friendly time zones, and provides an opportunity to gain hands-on experience in a fast-paced, innovative environment.
Must have
- Exposure to Full-Stack Development (frontend and backend technologies).
- Experience working with or building projects using AI technologies and Large Language Models (LLMs).
- Familiarity with modern web development frameworks and APIs.
- Understanding of software development best practices.
- Experience with Git and collaborative development workflows.
- Strong interest in AI and emerging technologies.
- Positive attitude and a proactive, can-do mindset.
- Strong problem-solving and analytical skills.
- Ability to work independently in a remote environment.
- Excellent communication and collaboration skills.
- Eagerness to learn, experiment, and take ownership of projects.
Nice to have
- Experience with OpenAI, Anthropic, or other LLM platforms.
- Knowledge of vector databases, RAG systems, or AI agents.
- Experience deploying applications to cloud platforms.
- Previous internship, academic, or personal projects involving AI products.
Technologies
- Agentic AI
- Anthropic
- Git
- LLM
- OpenAI
- Prompt Engineering
- RAG
- Vector Databases
Highlights
The internship is remote, with a preference for candidates in UK-friendly time zones. The duration is 3–6 months, and the start date is ASAP. The role is suitable for students or recent graduates. Flexible remote working and the chance to work directly with experienced professionals are notable benefits.
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