AI Engineer

Job Description:

Experience with Agile Software Development Lifecycles and DevOps/DevSecOps

Development experience on AWS, AWS Sagemaker required

Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark

Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition.

Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch.

Experience with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning

Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications

Experience training and maintaining large language models

Experience with production-grade development, integration and support

Experience and familiarity presenting to technical and business audiences