AI ENGINEER

Key Responsibilities

1. AI Strategy Support: Help contribute to our 3-year roadmap as we move toward autonomous, self-adjusting factory operations.
2. Data Connections: Help design automated pipelines using SQL Server to connect factory machines and sensors into our central AI system.
3. Building RAG Systems: Assist in designing and deploying RAG pipelines for our internal AI chatbots to ensure they provide accurate information.
4. MLOps & Deployment: Work on the full lifecycle of AI models—from development to the factory floor—ensuring they stay accurate and secure.
5. Collaboration: Work closely with senior engineers and help explain AI results to management and international stakeholders.

Requirements & Minimum Qualifications

1. Education: A Bachelor’s Degree in Computer Science, Data Science, AI, or a related Engineering field.
2. Experience: 0 to 5 years of professional experience. (Note to Fresh Grads: If you are just starting out, you must show a strong portfolio of AI/ML projects completed during your studies or internships.)
3. AI & LLM Proficiency: A solid understanding of Machine Learning and Deep Learning. You should have hands-on experience using PyTorch, Hugging Face, and working with LLM APIs.
4. Advanced AI Techniques: Experience or academic projects involving Retrieval-Augmented Generation (RAG), AI Agents, or multimodal systems (working with text, voice, or images).
5. Backend & Systems Programming: A strong foundation in Python is essential Familiarity with FastAPI to