AI Engineering Intern

DevDash Labs; United States; Remote; USD 13,000 - 20,000; Part time

Benefits offered by this job

Stipend provided

Mentorship

Remote work

Job summary

DevDash Labs offers a three-month paid remote internship for students in Nepal to build practical AI applications with a research and development team. You will contribute to client projects and internal products while learning how AI systems are developed, deployed and maintained.

The internship emphasizes hands-on experience with AI tooling, deployment practices, and collaboration across time zones. Strong Python skills and final-year CS status are required, with English proficiency and

Qualifications

• Currently in the final year of a computer science degree.
• Strong Python programming skills and interest in AI/ML shown through coursework or projects.
• Basic familiarity with AWS or GCP.
• Analytical problem-solving, attention to detail and willingness to learn.
• Good written and spoken English; able to work independently and collaboratively.

Responsibilities

• Build and deploy AI applications using LangChain and LlamaIndex.
• Help implement AI solutions for client projects and internal products.
• Take part in research demonstrations, technical discussions and code reviews.
• Learn deployment and MLOps practices using cloud platforms such as AWS or GCP.
• Collaborate remotely with teammates across time zones.

Skills

Python

Analytical thinking

English proficiency

Cloud familiarity

Education

Final-year CS student

Tools

LangChain

LlamaIndex

AWS

GCP

Job description

Role overview

Join a three-month, paid internship building practical AI applications with a research and development team. You’ll contribute to client projects and internal products while learning how AI systems are developed, deployed and maintained. The internship is remote in Nepal and is intended for students in the final year of a computer science degree.

Responsibilities

• Build and deploy AI applications using frameworks such as LangChain and LlamaIndex.
• Help implement AI solutions for client projects and contribute to internal products.
• Take part in research demonstrations, technical discussions and code reviews.
• Learn deployment and MLOps practices using cloud platforms such as AWS or GCP.
• Collaborate remotely with teammates across time zones.

Requirements

• Currently in the final year of a computer science degree.
• Strong Python programming skills and an interest in AI or machine learning shown through coursework or projects.
• Basic familiarity with AWS or GCP.
• Analytical problem-solving skills, attention to detail and willingness to learn.
• Good written and spoken English, with the ability to work independently and collaboratively.

Nice to have

• Familiarity with Git, foundation models or AI frameworks; experience with LangChain, LlamaIndex or MLOps is useful.
• Basic HTML, CSS or JavaScript skills, or proficiency in additional programming languages.

Benefits and work setup

• Paid, fully remote internship for students in Nepal, with a competitive stipend.
• Mentorship, exposure to real projects, and hands‑on practice with AI tools and cloud services.
• Strong performance may lead to a full-time opportunity.