Staff Full Stack – AI Engineer
Pocket Prep
MongoDBNode.jsNoSQLPythonTypeScript
Job Level
Mid-LevelSenior
Tech Stack
NumpyPandasPythonPyTorchTensorflow
About the role
- Analyze the core challenges of the business units and help translate those needs into technical specifications for AI solutions.
- Build and deploy a wide range of machine learning and generative AI models to solve complex problems.
- Support and maintain the data pipelines required for our AI systems, ensuring data quality and readiness for model training and inference.
- Build out AI solutions and assist in the integration of AI models into existing Lummus business applications and workflows using APIs and other services to create seamless user experiences.
- Fine-tune and maintain large language models (LLMs) and vision models on our proprietary data, with a focus on performance, accuracy, and IP security.
- Support the full lifecycle of AI applications, from initial coding, prototyping, and experimentation to deployment, monitoring, and continuous improvement.
- Foster innovation by researching new techniques and technologies to stay at the forefront of the rapidly evolving AI landscape.
Requirements
- Bachelor’s degree in Computer Engineering or other engineering discipline, Mathematics, Data Science, or a relevant field.
- Minimum 3 years of experience in computer or software engineering.
- Proficiency in Python and its data science ecosystem (Pandas, NumPy, others).
- Experience with ML frameworks such as PyTorch or TensorFlow.
- Experience supporting modern GenAI stacks.
