Applied AI Engineer

Become a part of our caring community and help us put health first We are seeking AI Engineers who have hands-on experience developing Python-based applications intended for use by others, beyond just building models or conducting data analysis. The traditional candidate will have a strong background in both traditional machine learning and emerging generative AI technologies. As a Senior Engineer, you will play a key role in developing and deploying innovative AI-powered solutions, working with large-scale datasets and cutting-edge tools to solve complex business challenges. You will collaborate closely with data scientists and fellow engineers, contributing to the entire AI development lifecycle from data ingestion to software deployment and monitoring. Key Responsibilities: + Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions. + Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases. + Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets. + Assist our data science team in the development and deployment of traditional machine learning models. + Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions. + Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines. + Stay up to date with the latest advancements in machine learning, generative AI, and related technologies. Use your skills to make an impact Required Qualifications + Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR + Master's Degree in a similar field with at least 3 years of relevant experience. + 5+ years of experience developing Python-based applications intended for use by others, beyond just building models or conducting data analysis. + Experience with data manipulation libraries (e.g., Pandas, NumPy). + Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts. + Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). + Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) + 3+ years of experience with containerization (e.g., Docker, Kubernetes). + 2+ years of experience with CI/CD tools, pipelines + Experience working with Large Language Model (LLM) in application development + Experience with version control systems (e.g., Git) and software development best practices. Preferred Qualifications + Excellent problem-solving skills and ability to work in a collaborative environment. + Knowledge of generative AI frameworks such as Langchain or Pydantic AI. + Experience deploying software using tools like Docker and Kubernetes. + Experience with deep learning techniques and frameworks. + Knowledge of natural language processing (NLP). + Familiarity with big data technologies (e.g., Hadoop, Spark). For your awareness, if you are selected, the first-round interview will consist of a

Created: 2025-11-15