高级软件工程师 II（人工智能核心平台）
Senior Software Engineer II (AI Core Platform)
作为Aledade的高级软件工程师II，我们维护、改进并扩展我们的网络应用和数据流水线。我们寻找那些知道编写新代码并不总是解决问题的方案，但当需要技术变更时，能够创建安全、可维护、高性能、正确、可扩展且稳定的解决方案的工程师，以应对我们在医疗保健领域面临的复杂和独特挑战。他们采用能降低风险的策略，倾向于可观测性、警报、指标、高测试覆盖率以及逐步构建价值的频繁发布。
该职位将专注于平台可靠性、可观测性/OTEL、认证与网络集成、运行时可扩展性以及未来内存/治理平台的工作。
主要职责：
开发和实现可扩展且高性能的解决方案。
作为同行，与工程经理、产品经理和Aledade的其他利益相关者合作，使用敏捷流程制定和执行技术路线图。
指导和辅导更初级的工程师，包括对其他开发人员的详细代码审查，并乐于接受对自己工作的关键反馈。
最低资格要求：
计算机科学、工程或相关领域的学士/硕士（或更高）学位。
6年以上作为工程师在跨职能团队中构建全栈网络应用的经验。
3年以上在大型多表数据集上使用SQL或其他数据库查询语言的经验。
3年以上在团队环境中担任可信的技术决策者的经验，解决短期和长期的业务价值问题。
3年以上指导其他工程师的经验。
职责：
深入的AWS + 基础设施经验。
网络和分布式系统知识。
认证/授权经验（IAM、OAuth、API网关、服务间认证等）。
具备处理企业安全/合规要求的经验。
对LLM/代理生态系统有一定了解（Bedrock、LangGraph、LiteLLM、MCP、OpenAI API、Claude Code等）。
改进AI/ML基础设施，用于模型开发、训练和部署，重点在于大语言模型和其他生成式AI架构。
设计多年愿景，塑造关键生成式AI领域的方向——文本生成、图像合成、多模态模型和个性化内容创作。
构建系统以增强AI模型的能力和相关性，使复杂的数据集更具可访问性和可操作性。
设计和实现p
查看英文原文
As a Senior Software Engineer II at Aledade, we maintain, improve, and expand our web application and data pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry.
They embrace strategies that minimize risk, leaning towards observability, alerting, metrics, high test coverage, and frequent releases that incrementally build value.
This role will focus on platform reliability, observability/OTEL, auth + networking integrations, runtime scalability, and future memory/governance platform work.
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.