CVS HealthRemote
Senior Full Stack AI Engineer
United States
Full-time
5 days ago
$118,000 - $261,000 USD
H1B Sponsor Likely
Key skills
PythonJavaScript/TypeScriptAI/ML frameworksCloud platformsSQL databasesNoSQL databasesDevOpsNetworking fundamentalsSoft skillsJavaScriptTypeScriptSQLNoSQLAIMLOpenAIPyTorchTensorFlowscikit-learnMLOpsMLflowData EngineeringKafkaAirflowReactAngularNode.jsJestPytestAWSAzureGCPTerraformKubernetesDockerAnsibleDynamoDBPostgreSQLMySQLMongoDBRedisPrometheusGrafanaDatadogELK StackCI/CDCollaboration
About this role
CVS Health is focused on building a world of health around every individual, striving to simplify healthcare. They are seeking a Senior Full Stack Developer to design and develop intelligent web applications that leverage AI capabilities and expand into network automation.
Responsibilities:
- Design and build scalable full‑stack and automation applications using modern frameworks (React, Angular, Node.js, Python) with a focus on performance, security, and reliability
- Develop and operationalize AI/ML models to enhance network performance, predict issues, and detect anomalies before they impact operations
- Create intelligent chatbots and conversational AI solutions (OpenAI, Azure AI, Dialogflow) to automate network support, incident resolution, and knowledge retrieval
- Lead network automation and data engineering efforts by integrating APIs, orchestrating workflows (Ansible, Terraform, Cisco NSO), and transforming telemetry data into actionable insights
- Enable end‑to‑end DevOps and cross‑functional collaboration by implementing CI/CD pipelines, containerizing applications (Docker, Kubernetes), and partnering across Network, Cloud, AI, and Security teams to drive innovation
Requirements:
- 7+ years of professional software development experience using Python, JavaScript/TypeScript
- 2+ years integrating ML models into production applications (not just training models in notebooks) using frameworks like TensorFlow, PyTorch or Scikit-learn
- Proven track record delivering scalable web applications in production environments
- 2+ years hands-on experience with at least one major cloud platform: AWS, Azure, or GCP
- 2+ years experience with SQL databases (PostgreSQL, MySQL, or similar) and NoSQL databases (MongoDB, Redis, or DynamoDB)
- Experience building conversational AI solutions, including chatbots, LLMs, prompt engineering, RAG pipelines, and working with vector databases
- Background in MLOps practices such as model versioning, monitoring, and experiment tracking using tools like MLflow or Weights & Biases
- Understanding of networking fundamentals and hands‑on exposure to network automation tools, Cisco technologies, or infrastructure‑as‑code frameworks
- Proficiency with modern technical tools and frameworks, including testing libraries (pytest, Jest), Kubernetes, data pipelines (Airflow, Kafka), and real‑time application technologies
- Familiarity with monitoring and observability platforms such as Grafana, Prometheus, ELK stack, or Datadog