Associate AI Engineer – LLM & Computer Vision

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.