Senior Software Engineer II - (AI Core Platform)

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  "lists": [
    {
      "text": "Primary Duties:",
      "content": "\n<li>Develop and implement scalable and performant solutions.</li>\n<li>Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes.</li>\n<li>Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work.</li>\n"
    },
    {
      "text": "Minimum Qualifications:",
      "content": "\n<li>BS/BTech (or higher) in Computer Science, Engineering or a related field.</li>\n<li>6+ years experience as an engineer building full-stack web applications as part of a cross-functional team.</li>\n<li>3+ years of experience working with SQL or other database querying language on large multi-table data sets.</li>\n<li>3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.</li>\n<li>3+ years of experience coaching other engineers.</li>\n"
    },
    {
      "text": "Responsibilities:",
      "content": "\n<li>Deep AWS + infrastructure experience.</li>\n<li>Networking and distributed systems knowledge.</li>\n<li>Auth/authz experience (IAM, OAuth, API gateways, service-to-service auth, etc.).</li>\n<li>Experience working with enterprise security/compliance requirements.</li>\n<li>Some familiarity with LLM/agent ecosystems (Bedrock, LangGraph, LiteLLM, MCP, OpenAI APIs, Claude Code, etc.).</li>\n<li>Improve AI/ML infrastructure for model development, training, and deployment, with a focus on large language models and other generative AI architectures.</li>\n<li>Design multi-year vision, shaping the direction of crucial generative AI areas - text generation, image synthesis, multimodal models, and personalized content creation.</li>\n<li>Architect systems to enhance the capabilities and relevance of AI models, making complex data sets more accessible and actionable.</li>\n<li>Design and implement prompt engineering strategies to effectively guide generative AI models.</li>\n<li>Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to identify and prioritize applied AI use cases within the organization.</li>\n<li>Analyze product usage patterns and trends to make data-driven decisions and forecasts for generative AI applications.</li>\n<li>Maintain the security of protected patient health information and ensure compliance with relevant regulations in the context of AI.</li>\n<li>Contribute to the development of APIs and interfaces for integrating generative AI capabilities into existing healthcare systems and applications.</li>\n"
    }
  ],
  "country": "US",
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    "team": "Engineering",
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    "commitment": "Full Time",
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