Responsibilities
- Collaborate in the design and development of generative AI systems, including LLM-powered applications, multi-agent workflows, RAG, and domain-specific reasoning engines.
- Develop, test, and maintain APIs and platform features that integrate AI into business workflows.
- Build and optimize data, feature, and evaluation pipelines to support reliable and evolving AI behavior.
- Work closely with data scientists, platform engineers, and product managers to translate conceptual solutions into robust, testable, and observable production systems.
- Adhere to established engineering standards and contribute to a culture of quality, clarity, and continuous improvement.
- Participate in code reviews, documentation, and team knowledge sharing.
- Support observability, measurement, and operational excellence to ensure deployed systems are maintainable and high-performing.
- Stay informed on AI/ML advancements and support adoption of relevant new technologies.
- Help drive improvements in healthcare delivery and member satisfaction through technical contributions.
Basic qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related quantitative field.
- 2–5 years of professional experience in software or platform engineering.
- Proficient in Python, with experience building production services or libraries.
- Hands-on experience with applied AI systems, such as LLM integration, RAG, or embeddings.
- Familiarity with machine learning engineering concepts, such as model deployment, monitoring, and evaluation.
- Working knowledge of FastAPI, Flask, or similar frameworks, and REST/gRPC service design.
- Experience with cloud development on AWS, GCP, or Azure.
- Exposure to containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Experience with CI/CD pipelines, version control, and DevOps practices.
- Ability to work independently and as part of a team to deliver quality solutions.
Preferred qualifications
- Exposure to generative AI tooling (e.g., LangChain, LlamaIndex, PydanticAI).
- Understanding of deep learning frameworks (PyTorch, TensorFlow).
- Experience with distributed systems or platforms.
- Experience working on platform development or complex production applications.
- Demonstrated problem-solving skills and the ability to balance innovation with maintainability.
About the company
Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.