[Remote] Senior Software Engineer II - (AI Core Platform)

Note: The job is a remote job and is open to candidates in USA. Aledade, Inc. is a technology company focused on improving healthcare through innovative solutions. They are seeking a Senior Software Engineer II to maintain, improve, and expand their web application and data pipelines, focusing on platform reliability and AI/ML infrastructure.

Responsibilities

• Develop and implement scalable and performant solutions
• Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes
• Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work
• 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

Company Overview

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