Senior Software Engineer I - AI/ML
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At a glance
Requirements
Credentials this posting asks for.
Job overview
Aledade is hiring a Senior Software Engineer I - AI/ML. As a Senior Software Engineer I at Aledade, the role involves maintaining, improving, and expanding web applications and data pipelines within the healthcare sector, creating secure, maintainable, performant, correct, scalable and stable solutions, while emphasizing observability, alerting, metrics, high test coverage, and frequent releases to incrementally build value.
Key focus areas include Improve AI/ML infrastructure for model development, training, and deployment focusing on large language models and generative AI architectures., Design multi-year vision shaping direction of generative AI areas such as text generation, image synthesis, multimodal models, and personalized content creation., and Architect systems to enhance capabilities and relevance of AI models, making complex data sets more accessible and actionable..
Successful candidates bring BS/BTech In Computer Science, Engineering Or Related Field, 4+ Years Experience Building Full-Stack Web Applications, and 3+ Years Experience With SQL Or Other Database Querying Language. Important skills include Secure Solutions, Maintainable Solutions, Performant Solutions, Correct Solutions, Scalable Solutions, and Stable Solutions. Preferred (not required): AI/ML Infrastructure, Model Development, Model Training, and Model Deployment.
Skills & qualifications
Skills
Qualifications
Full job description
As a Senior Software Engineer I 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. Primary Duties:
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Develop and implement scalable and performant solutions.
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Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes.
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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:
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BS/BTech (or higher) in Computer Science, Engineering or a related field.
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4+ years experience as an engineer building full-stack web applications as part of a cross-functional team.
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3+ years of experience working with SQL or other database querying language on large multi-table data sets.
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2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
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2+ years of experience coaching other engineers.
Responsibilities:
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Improve AI/ML infrastructure for model development, training, and deployment, with a focus on large language models and other generative AI architectures.
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Design multi-year vision, shaping the direction of crucial generative AI areas - text generation, image synthesis, multimodal models, and personalized content creation.
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Architect systems to enhance the capabilities and relevance of AI models, making complex data sets more accessible and actionable.
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Design and implement prompt engineering strategies to effectively guide generative AI models.
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Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to identify and prioritize applied AI use cases within the organization.
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Analyze product usage patterns and trends to make data-driven decisions and forecasts for generative AI applications.
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Maintain the security of protected patient health information and ensure compliance with relevant regulations in the context of AI.
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Contribute to the development of APIs and interfaces for integrating generative AI capabilities into existing healthcare systems and applications.
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