Job Specifications
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.
Required Qualifications
Use your skills to make an impact
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 "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.
Additional Information
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 is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$129,300 - $177,800 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description Of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support who
About the Company
Humana will never ask, nor require a candidate to provide money for work equipment and network access during the application process. If you become aware of any instances where you as a candidate are asked to provide information and do not believe it is a legitimate request from Humana or affiliate, please contact yourcareer@humana.com to validate the request At Humana, our cultural foundation is aligned to helping members achieve their best health by delivering personalized, simplified, whole-person healthcare experiences. ...
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