Junior AI Engineer

Job Description

We are seeking a passionate and skilled Junior AI Engineer to join our AI team, working on advanced projects involving large language models (LLMs), Retrieval-Augmented Generation (RAG), image generation, fine-tuning, and AI agent systems. This role offers the opportunity to work on real-world AI applications using state-of-the-art technologies like Mistral, LLAMA, AWS Bedrock, and Virtual Try-On models such as CatVTON. You will be directly involved in building, optimizing, and deploying AI solutions for production use.

Key Responsibilities:
• Develop, fine-tune, and deploy large language models (LLMs) for domain-specific business needs.
• Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines, including multi-agent RAG architectures.
• Prepare, clean, and augment datasets for model training, including instruction fine tuning and annotation.
• Build and test virtual try-on models and image-processing pipelines, ensuring data accuracy and output quality.
• Research, prototype, and integrate emerging AI tools and frameworks (e.g., Mistral AI, LLAMA, AWS Bedrock).
• Implement and refine Model Context Protocols (MCPs) to define input/output formats, memory scopes, tool usage boundaries, and conversation rules for AI agents.
• Monitor model performance, run experiments, and perform hyperparameter tuning to improve results.
• Collaborate with cross-functional teams to integrate AI solutions into production systems.
• Maintain clear, well-documented code, pipelines, and research findings.
• Stay informed on the latest AI advancements, propose innovations, and lead small scale POC (proof of concept) projects.

Qualifications:
• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
• Strong understanding of machine learning and deep learning principles.
• Hands-on experience with Python and ML/DL libraries such as PyTorch, TensorFlow, Transformers, and LangChain.
• Experience with LLM fine-tuning, RAG architectures, or AI agent frameworks.
• Knowledge of cloud environments (AWS/GCP/Azure) and experience deploying AI models in production.
• Proficient with Git, Jupyter notebooks, and collaborative coding workflows.
• Ability to translate research papers into working prototypes.
• Strong problem-solving skills, curiosity, and a passion for applying AI to solve real world challenges.

What You’ll Gain:
• Opportunity to work on cutting-edge AI projects from research to deployment.
• Mentorship from senior AI engineers and domain experts.
• Real-world experience with production-grade AI systems, including LLMs, RAG, MCPs, and image generation models.
• Freedom to explore new AI tools, architectures, and research to shape future company solutions.
• A collaborative, innovation-driven work environment.