Note: The job is a remote job and is open to candidates in USA. Aledade, Inc. is seeking a Senior Software Engineer II to maintain, improve, and expand their web application and data pipelines. The role focuses on platform reliability, observability, and scalable solutions while collaborating with various stakeholders and mentoring junior engineers.
Responsibilities
- Deep AWS + infrastructure experience
- Networking and distributed systems knowledge
- Auth/authz experience (IAM, OAuth, API gateways, service-to-service auth, etc.)
- Experience working with enterprise security/compliance requirements
- Some familiarity with LLM/agent ecosystems (Bedrock, LangGraph, LiteLLM, MCP, OpenAI APIs, Claude Code, etc.)
- Improve AI/ML infrastructure for model development, training, and deployment, with a focus on large language models and other generative AI architectures
- Design multi-year vision, shaping the direction of crucial generative AI areas - text generation, image synthesis, multimodal models, and personalized content creation
- Architect systems to enhance the capabilities and relevance of AI models, making complex data sets more accessible and actionable
- Design and implement prompt engineering strategies to effectively guide generative AI models
- Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to identify and prioritize applied AI use cases within the organization
- Analyze product usage patterns and trends to make data-driven decisions and forecasts for generative AI applications
- Maintain the security of protected patient health information and ensure compliance with relevant regulations in the context of AI
- Contribute to the development of APIs and interfaces for integrating generative AI capabilities into existing healthcare systems and applications
Skills
- BS/BTech (or higher) in Computer Science, Engineering or a related field
- 6+ years experience as an engineer building full-stack web applications as part of a cross-functional team
- 3+ years of experience working with SQL or other database querying language on large multi-table data sets
- 3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
- 3+ years of experience coaching other engineers
- Deep AWS + infrastructure experience
- Networking and distributed systems knowledge
- Auth/authz experience (IAM, OAuth, API gateways, service-to-service auth, etc.)
- Experience working with enterprise security/compliance requirements
- Some familiarity with LLM/agent ecosystems (Bedrock, LangGraph, LiteLLM, MCP, OpenAI APIs, Claude Code, etc.)
- Improve AI/ML infrastructure for model development, training, and deployment, with a focus on large language models and other generative AI architectures
- Design multi-year vision, shaping the direction of crucial generative AI areas - text generation, image synthesis, multimodal models, and personalized content creation
- Architect systems to enhance the capabilities and relevance of AI models, making complex data sets more accessible and actionable
- Design and implement prompt engineering strategies to effectively guide generative AI models
- Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to identify and prioritize applied AI use cases within the organization
- Analyze product usage patterns and trends to make data-driven decisions and forecasts for generative AI applications
- Maintain the security of protected patient health information and ensure compliance with relevant regulations in the context of AI
- Contribute to the development of APIs and interfaces for integrating generative AI capabilities into existing healthcare systems and applications
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