Associate AI Engineer – LLM & Computer Vision (Onsite, Karachi, PKR Salary)

hr-pod-hiring-talent-globally; Karachi Division; On-site; PKR 600,000 - 1,200,000; Full time

Job summary

hr-pod-hiring-talent-globally in Karachi invites fresh AI/ML enthusiasts to join as an entry-level AI/ML Engineer. You will contribute to building LLM-based applications, chatbots, and RAG systems under guidance.

The role emphasizes Python, ML libraries, data preprocessing, and collaboration with data and software teams; great for showcasing academic or portfolio projects in LLMs, computer vision, or multimodal AI.

Qualifications

• Fresh to 2 years of AI/ML experience with Python fundamentals.
• Familiarity with PyTorch, TensorFlow, or Scikit-learn.
• Basic understanding of LLMs, prompt engineering, and evaluation.
• Exposure to CV fundamentals, data preprocessing, and model metrics.
• Exposure to Hugging Face, LangChain, OpenAI APIs, or similar tools, with RAG and vector databases.
• Exposure to cloud AI environments.
• Academic or portfolio projects involving LLMs, CV, or multimodal AI.
• Strong learning mindset and willingness to experiment.
• Structured and clean implementation approach, with collaboration across teams.

Responsibilities

• Assist in building LLM-based applications such as chatbots, RAG systems, and AI assistants.
• Support data preprocessing, labeling, and model evaluation workflows.
• Implement basic inference pipelines and integrate AI APIs.
• Assist with prompt engineering, experimentation, and model output evaluation.
• Work with embeddings, vector databases, and retrieval workflows.
• Support computer vision experiments and image or video processing tasks.
• Document experiments, datasets, results, and implementation decisions.
• Collaborate with software engineering, product, and data teams.

Skills

Python basics

PyTorch

TensorFlow

Scikit-learn

LLMs & prompts

RAG & vector DB

Cloud AI

Data preprocessing

Computer vision

Multimodal AI

Documentation

Collaboration

Tools

Hugging Face

LangChain

OpenAI APIs

Job description

Requirements:

• Fresh to 2 years of AI/ML experience, including academic or personal projects, with strong Python fundamentals.
• Familiarity with PyTorch, TensorFlow, or Scikit-learn, along with a basic understanding of LLMs, prompt engineering, and evaluation.
• Exposure to computer vision fundamentals, data preprocessing, and basic model metrics.
• Exposure to Hugging Face, LangChain, OpenAI APIs, or similar tools, with familiarity with RAG and vector databases.
• Exposure to cloud AI environments.
• Academic or portfolio projects involving LLMs, computer vision, or multimodal AI.
• Strong learning mindset and willingness to experiment under guidance.
• Structured and clean implementation approach, with curiosity, documentation discipline, and the ability to collaborate cross-functionally.

Responsibilities:

• Assist in building LLM-based applications such as chatbots, RAG systems, and AI assistants.
• Support data preprocessing, labeling, and model evaluation workflows.
• Implement basic inference pipelines and integrate AI APIs.
• Assist with prompt engineering, experimentation, and model output evaluation.
• Work with embeddings, vector databases, and retrieval workflows.
• Support computer vision experiments and image or video processing tasks.
• Document experiments, datasets, results, and implementation decisions.
• Collaborate with software engineering, product, and data teams.