Staff Backend Engineer - AI Platforms & GenAI

CVS Health Corporation; North Carolina; Hybrid; USD 107,000 - 261,000; Full time

Benefits offered by this job

Health insurance

Dental and vision coverage

Retirement savings options

Paid time off

Job summary

CVS Health Corporation is seeking a passionate Staff Backend Engineer to join a high‑impact team building next‑generation AI platforms. You will drive design and delivery of scalable AI solutions, mentor engineers, and collaborate across product, business, and engineering groups to meet business goals.

The role emphasizes technical leadership, cloud-native microservices, CI/CD, and secure, reliable software practices, with a strong focus on AI readiness and observability across systems.

Qualifications

• 7+ years delivering scalable, production-grade software systems.
• Experience with API development and microservices architecture.
• Hands-on cloud platform experience (GCP, Kubernetes).

Responsibilities

• Design, build, and deploy scalable AI/GenAI applications leveraging LLMs and RAG architectures.
• Develop and optimize prompts, evaluation frameworks, and model pipelines.
• Architect and implement end-to-end solutions including frontend (Angular/React) and backend APIs/services.
• Integrate AI capabilities into enterprise systems using cloud-native architectures.
• Lead technical design discussions and drive secure, high-performance decisions.
• Mentor engineers and foster a culture of innovation and quality.

Skills

Software engineering

Backend development

Frontend frameworks

Generative AI / LLM

CI/CD / DevOps

Containerization

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Angular

React

Java

Python

Node.js

Job description

CVS Health Corporation is seeking a passionate Staff Backend Engineer to join a high‑impact team building next‑generation AI platforms. You will drive design and delivery of scalable AI solutions, mentor engineers, and collaborate across product, business, and engineering groups to meet business goals.

The role emphasizes technical leadership, cloud-native microservices, CI/CD, and secure, reliable software practices, with a strong focus on AI readiness and observability across systems.