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 and containerization (Docker)
Identify and resolve security vulnerabilities in data services and APIs
Monitor and optimize system performance, reliability, and scalability

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

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs
Confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access
Other benefits depending on eligibility

Staff Software Engineer Lead – Interoperability

Key skills