Senior Software Engineer II - (AI Core Platform)

Team: Engineering

Location: Remote, United States

Commitment: Full Time

Workplace Type: remote

Primary Duties:

• 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.

Minimum Qualifications:

• 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.

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.