Senior Backend Engineer - AI Platforms & GenAI

CVS Health Corporation

Georgia

Hybrid

USD 107,000 - 261,000

Full time

6 days ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
Retirement options
Wellness programs
Equity incentive program
Performance bonus

Job summary

CVS Health Corporation is seeking a passionate Staff Backend Engineer to join a high‑impact team building next‑generation AI solutions. The role combines technical leadership with hands‑on delivery to create scalable, production‑grade systems.

You will design and deploy AI/GenAI applications using LLMs and RAG architectures, build robust APIs and frontend/backend components, and collaborate with product, business, and engineering to align with strategic goals.

Qualifications

  • 7+ years delivering scalable, production-grade software.
  • 5+ years in backend development with API/microservices.
  • Experience with cloud platforms (GCP, Kubernetes).
  • CI/CD, DevOps, and containerization expertise (Docker/Kubernetes).
  • Frontend framework experience (Angular/React).
  • 1+ year in Generative AI/LLM-based systems (prompts, RAG, evaluation).

Responsibilities

  • Design, build, and deploy scalable AI/GenAI apps with LLMs and RAG.
  • Develop AI prompts, eval frameworks, and model pipelines.
  • Architect end-to-end solutions including frontend (Angular/React) and backend APIs.
  • Integrate AI into enterprise systems using cloud-native microservices.
  • Lead technical design discussions and ensure secure, high‑performing architecture.
  • Mentor engineers and stay current with AI/ML trends.

Skills

Backend development
API development
Microservices & REST
Frontend frameworks
CI/CD / DevOps
Generative AI / LLM
Cloud platforms
Docker / Kubernetes

Education

Bachelor's degree in CS/Engineering

Tools

Docker
Kubernetes
Angular
React

Job description

CVS Health Corporation is seeking a passionate Staff Backend Engineer to join a high‑impact team building next‑generation AI solutions. The role combines technical leadership with hands‑on delivery to create scalable, production‑grade systems.

You will design and deploy AI/GenAI applications using LLMs and RAG architectures, build robust APIs and frontend/backend components, and collaborate with product, business, and engineering to align with strategic goals.

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