AI​/ML Engineer

We, at Blueera Technologies, proudly lead in Texas-based IT solutions. Our dynamic team specializes in crafting advanced software services, providing unmatched expertise in cloud computing and development. Committed to embodying the resilience of Texas, we empower businesses for success in the digital era.

We are looking for a hands-on college or university student to join Novacis Digital as an AI/ML Engineering Intern supporting the design and development of enterprise AI products using machine learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, intelligent document processing, and modern software engineering practices. The ideal candidate is a strong student engineer who can move from experimentation to working prototypes and write clean, testable Python.

• Develop and prototype AI/ML and Generative AI features using Python and modern AI frameworks.
• Build and test LLM-based applications using OpenAI, Llama, Hugging Face, or similar foundation models.
• Support RAG solutions using embeddings, vector databases, chunking, retrieval, reranking, and grounding techniques.
• Use Lang Chain, Lang Graph, or similar orchestration frameworks to build multi-step and agentic AI workflows.
• Develop lightweight APIs and services using FastAPI, Flask, or similar Python frameworks.
• Assist with model/application evaluation, prompt testing, hallucination analysis, debugging, latency analysis, and performance improvement.
• Prepare and transform structured and unstructured data for AI experimentation and product use cases.
• Support intelligent document processing, conversational analytics, workflow automation, or enterprise search prototypes.
• Use Git-based development practices and contribute technical notes, experiment results, and reusable documentation.
• Research emerging AI capabilities and convert promising approaches into demonstrable product prototypes.

• trong programming fundamentals in Python.
• Solid understanding of Artificial Intelligence, Machine Learning, and Deep Learning fundamentals.
• Understanding of Generative AI concepts, LLMs, prompt engineering, embeddings, vectorization, and RAG.
• Hands-on academic or personal project experience with AI chatbots, AI assistants, machine learning models, or LLM-based applications.
• Exposure to Lang Chain, Lang Graph, Hugging Face, Transformers, or similar AI frameworks.
• Basic understanding of REST APIs, JSON, Git, and software development practices.
• Familiarity with SQL, pandas, Num Py, scikit-learn, PyTorch, Tensor Flow, or similar data/ML libraries.
• Strong analytical, logical, debugging, and problem-solving skills.
• Ability to communicate technical ideas clearly and work effectively in a hybrid team environment.

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.