CVS HealthRemote
Staff Software Engineer Lead - Interoperability
United States
Full-time
4 days ago
$130,000 - $261,000 USD
H1B Sponsor Likely
Key skills
PythonFastAPIAI engineeringCloud platformsLangChainREST APIDevOps toolsData preprocessingCollaborationProblem-solvingCommunicationJavaSQLNoSQLAIMachine LearningMLGenerative AILLMOpenAIHugging FaceETLELTData EngineeringSparkKafkaAWSAzureGCPKubernetesDockerJenkinsGitHub ActionsVertex AIRESTfulGitHubCI/CD
About this role
CVS Health is seeking a hands-on, passionate, and forward-thinking Software Development Engineer/Lead to join a dynamic and rapidly evolving team at the forefront of digital health innovation. This role involves leading the development of scalable software systems that integrate generative AI models and collaborating with cross-functional teams to drive AI-first innovation across digital health products.
Responsibilities:
- Lead the development of scalable software systems that integrate generative AI models, autonomous agents, and machine learning pipelines
- Collaborate with cross-functional teams to identify opportunities for AI-first innovation across digital health products
- Drive the adoption of AI engineering best practices, including prompt engineering, model fine-tuning, and responsible AI governance
- Facilitate technical discussions between Application Architects and developers to ensure AI capabilities are embedded into the design and architecture of new solutions
- Stay current with advancements in AI and emerging technologies, and translate them into actionable strategies for product development
- Design, develop, and maintain scalable data pipelines and APIs using Python and FastAPI
- Integrate and orchestrate LangChain and LLM-based services into production environments
- Build robust data preprocessing workflows for structured and unstructured data
- Develop and maintain integrations with external and internal RESTful services
- Collaborate with ML engineers, data scientists, and product teams to deliver end-to-end AI solutions
- Implement DevOps best practices including CI/CD pipelines, containerization (Docker)
- Identify and resolve security vulnerabilities in data services and APIs
- Monitor and optimize system performance, reliability, and scalability
Requirements:
- 5+ years of experience in software/data engineering with a focus on backend development
- Strong proficiency in Python and experience with FastAPI for building APIs
- Hands-on experience with LangChain, LLMs (e.g., OpenAI, Vertex AI, Hugging Face Transformers), and vector databases
- Solid understanding of REST API design and integration
- Experience with data preprocessing, ETL/ELT pipelines, and working with large datasets
- Familiarity with DevOps tools such as Docker, Kubernetes, GitHub Actions, Jenkins, etc
- 3+ years Experience with cloud platforms (AWS, GCP, or Azure)
- Strong understanding of application security, including authentication, authorization, and vulnerability mitigation
- 3+ years coding in Python/PySpark, Java Springboot, NoSQL, SQL, and LLM modeling
- Experience with streaming data frameworks (e.g., Kafka, Spark Streaming)
- Familiarity with data governance and compliance standards (e.g., PHI, PII, HIPAA)
- Contributions to open-source projects in the AI/ML or data engineering space
- Experience with Prompt Engineering developing solutions leveraging LLM models
- 3+ years coding in Python/PySpark, SQL, and LLM modeling
- 3+ years in cloud-based platforms such as Azure, GCP and AWS