AI Engineer (LLMs / RAG / ML / DL)

Job Requirements

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Key Responsibilities

• Support semiconductor wafer inspection team by practical AI/ML/LLM solutions for wafer‑inspection and yield‑engineering workflows.
• Understand wafer inspection and classification use cases and datasets.
• Build & optimize RAG pipelines (chunking, embeddings, vector DBs, retrieval, reranking).
• Develop LLM applications: fine‑tuning, prompt design, structured outputs, inference services.
• Implement ML models: classification, regression, anomaly detection, recommendation.
• Contribute to DL architectures: CNNs, RNNs, Transformers.
• Build robust evaluation: accuracy, F1, BLEU, perplexity, hallucination detection.
• Use SQL, Git, Jupyter, basic Docker for data and model workflows.

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Work Experience

• Strong Python, algorithms, NumPy, Pandas, scikit‑learn.
• Experience with PyTorch or TensorFlow.
• Knowledge of Transformers, attention, LSTM/CNN models.
• Hands‑on with HuggingFace, tokenizers, embeddings, model fine‑tuning.
• Familiarity with vector DBs (FAISS, Milvus, Pinecone, ElasticSearch).
• Basic understanding of SQL, data wrangling, Git/GitHub, Docker.