Sr.AI Engineer
We are looking for a results-oriented AI Engineer to join our team developing intelligent Q&A systems powered by large language models. You will help build, test, and optimize pipelines that enable automatic question-answering from large document collections, supporting our mission to surface key knowledge rapidly and accurately. Responsibilities
- Build, fine-tune, and evaluate LLM-based Q&A models using frameworks like AWS Bedrock, Langchain, HuggingFace Transformers or OpenAI API.
- Design prompt templates and implement retrieval strategies to increase answer precision and factuality.
- Assist in creating data pipelines for training and testing, including annotation and evaluation tooling.
- Collaborate with senior engineers and product managers to translate user requirements into technical features.
- Participate in error analysis, iterative model improvement, and performance tuning.
- Document code and workflows clearly; follow best practices for reproducibility and code quality.
- Hands-on experience with machine learning, NLP, or information retrieval projects, preferably with language models.
- Proficiency in Python and familiarity with deep learning/NLP libraries (Langchain, PyTorch, TensorFlow, HuggingFace Transformers).
- Knowledge of vector databases or semantic search concepts is desirable.
- Eagerness to learn, strong problem-solving skills, and ability to work collaboratively in agile teams.
- Experience with Git, collaborative development workflows, and cloud infrastructure (AWS, Azure, GCP, Domino) is a plus.