LMKR is offering an opportunity for students and fresh graduates interested in building practical experience in Artificial Intelligence, Machine Learning, and Generative AI. The role is listed as an Artificial Intelligence Intern and is based in Lahore, Punjab, Pakistan.
The internship is designed to provide hands-on exposure to AI research, development, testing, and implementation. Interns will work alongside experienced engineers and contribute to AI-powered solutions, innovation initiatives, customer projects, and enterprise applications. The current listing identifies the position as an onsite internship in Lahore.
A current LinkedIn listing for the same LMKR position describes it as an internship for final-year students or fresh graduates and confirms the Lahore location.
Background & Internship Description
The LMKR AI/ML internship is intended for candidates who want to move beyond classroom learning and gain practical exposure to modern AI technologies.
The intern will work under the guidance of experienced engineers and participate in designing, developing, testing, and deploying AI-powered applications and proofs-of-concept.
The role covers several emerging areas of AI, including:
- Artificial Intelligence and Machine Learning.
- Generative AI.
- Large Language Models (LLMs).
- Prompt engineering.
- Retrieval-Augmented Generation (RAG).
- AI agents.
- Computer vision.
- Intelligent automation.
This combination makes the opportunity relevant to students pursuing computer science, artificial intelligence, software engineering, data science, and related technology disciplines.
Key Responsibilities
As an AI Intern, the successful candidate may be involved in:
- Designing and developing AI-powered applications.
- Testing and deploying AI solutions and proofs-of-concept.
- Supporting artificial intelligence research and development.
- Preparing and processing datasets.
- Integrating AI services and APIs.
- Evaluating machine-learning model performance.
- Developing AI-enabled features for enterprise applications.
- Assisting with prototypes and demonstrations.
- Supporting customer proof-of-concept projects.
- Preparing technical documentation.
The internship therefore provides exposure to both the technical and practical sides of deploying AI solutions rather than focusing exclusively on academic machine-learning exercises.
Qualifications and Eligibility
The opportunity is aimed at final-year students and fresh graduates.
Candidates should be pursuing or have completed a bachelor’s degree in one of the following fields:
- Computer Science.
- Artificial Intelligence.
- Software Engineering.
- Data Science.
- Information Technology.
- A related discipline.
Academic or personal projects involving AI or machine learning are considered an advantage. Relevant AI coursework, certifications, competitions, and practical projects can also strengthen an application.
Technical Skills Required
Applicants should have a basic understanding of artificial intelligence, machine learning, and generative AI concepts.
The listing highlights the following technical skills:
- Good programming skills in Python.
- Familiarity with Large Language Models such as GPT, Claude, Copilot, or similar technologies.
- Basic knowledge of prompt engineering.
- Understanding of AI-assisted application development.
- Familiarity with TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of REST APIs and JSON.
- Basic SQL and relational database knowledge.
- Familiarity with Git and version control.
Knowledge of RAG, AI agents, Natural Language Processing, and computer vision is an additional advantage.
Cloud and Emerging AI Skills
Candidates who have exposure to cloud-based AI services may have an additional advantage.
The vacancy specifically mentions familiarity with Microsoft Azure AI Services, Azure OpenAI, AWS AI services, or similar cloud AI platforms.
Applicants do not necessarily need to be experts in every technology listed. For an internship-level opportunity, demonstrating strong fundamentals, curiosity, and the ability to learn new technologies can be particularly valuable.
The listing also emphasizes analytical and problem-solving abilities, communication, collaboration, and a passion for AI innovation and continuous learning.
Experience and Projects
Professional experience is not presented as a mandatory requirement. Instead, the position is aimed at final-year students and fresh graduates.
This means personal and academic projects can be particularly useful when preparing an application.
Candidates can strengthen their profiles by highlighting projects involving:
- Machine-learning models.
- Generative AI applications.
- Chatbots or LLM-based tools.
- Computer vision.
- Data analysis.
- NLP.
- RAG applications.
- API integrations.
- AI automation.
- Python-based applications.
Where possible, applicants should clearly explain what they personally built, the technologies they used, and the problem their project solved.
Internship Location and Work Arrangement
Position: Artificial Intelligence Intern
Company: LMKR
Location: Lahore, Punjab, Pakistan
Work arrangement: Onsite
Employment type: Internship
Experience level: Internship
Field: Artificial Intelligence / Machine Learning / Information Technology
The supplied source lists LMKR’s Artificial Intelligence Intern position in Lahore and identifies it as hybrid in one listing, while another current listing describes the same role as onsite. Applicants should therefore confirm the work arrangement on the application page before submitting their application.
Salary and Benefits
The available vacancy information does not publish a confirmed stipend amount. Therefore, applicants should not rely on unverified salary figures circulating on third-party websites.
The main benefit of the internship is the opportunity to gain practical experience working with modern AI technologies alongside experienced engineers.
Interns can potentially build experience in AI application development, machine learning, generative AI, enterprise solutions, research, and proof-of-concept development.
Application Deadline
A current BeBee listing for the LMKR AI Intern position displays 20 September 2026 as the closing date.
Because job-board information can change and the position may be updated or closed earlier, candidates should verify the status when accessing the application page.
How to Apply
Interested candidates should review the current LMKR Artificial Intelligence Intern vacancy and submit their application through the recruitment channel associated with the listing.
View the current LMKR AI Intern opportunity
The current listing provides the position description, eligibility requirements, and application option.
Applicants should prepare an updated CV and, where available, include links to relevant academic, personal, or open-source AI projects.
Final Thoughts
The LMKR AI/ML Intern opportunity is particularly relevant to final-year students and recent graduates who want to develop practical skills in artificial intelligence and machine learning.
The internship covers a broad range of technologies, from Python and traditional machine-learning frameworks to LLMs, prompt engineering, RAG, AI agents, computer vision, and cloud AI services.
For students hoping to build a career in AI, this type of hands-on experience can help bridge the gap between academic knowledge and real-world software development. Candidates should emphasize their programming ability, relevant projects, understanding of AI fundamentals, and willingness to learn.
With the current third-party listing showing a 20 September 2026 deadline, eligible candidates should check the vacancy status and apply as soon as possible rather than waiting until the closing date.
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