Applied AI Engineer

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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.

• 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.

• 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, Num Py).
• Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
• Strong understanding of machine learning frameworks (e.g., Tensor Flow, 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.

• 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 "screen share" technical exercise that will be completed in Python. Please ensure you have the necessary tools and environment set up to facilitate this exercise.

To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self‑provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:

At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.

Satellite, cellular and microwave connection can be used only if approved by leadership.

Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi‑weekly payment for their internet expense.

Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.

Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel:
While this…