Job Description

• Assist in building, testing, and fine-tuning components of generative AI and LLM-based applications (e.g., chatbots, content generation, RAG pipelines) under supervision
• Support experimentation with prompt engineering, retrieval-augmented generation (RAG), and basic model fine-tuning techniques
• Write clean, documented Python code for smaller, well-scoped tasks (e.g., data preprocessing scripts, evaluation utilities, pipeline components)
• Help build and maintain data pipelines used for training and evaluating models, under the direction of a mentor
   

• Learn core deep learning concepts (CNNs, RNNs, Transformers, attention mechanisms) and apply them to guided project tasks
• Research and summarize recent papers or techniques in generative AI, LLMs, or AIOps as directed by the team
• Explore vector embeddings and vector storage approaches, and document findings for the team

• Participate in team meetings, stand-ups, and design discussions to understand how AI systems are architected end-to-end
• Work alongside data scientists and engineers to understand requirements and how they translate into implementation
• Present learnings, progress, and small deliverables to the team on a regular cadence

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
• Coursework or personal/academic project experience with Python and at least one ML framework (e.g., PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers)
• Basic understanding of deep learning fundamentals (neural networks, model training, evaluation metrics)
• Familiarity with, or strong interest in, generative AI and LLM concepts (fine-tuning, RAG, prompt engineering) — prior hands-on experience is a plus but not required.
• Understanding of basic software engineering practices (version control with Git, writing readable code, basic testing).
• Strong analytical and problem-solving skills, with willingness to learn and take direction.
• Good communication skills and comfort working in a collaborative, remote team environment.