Senior Software Engineer I - AI/ML

Aledade; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Aledade is seeking a Senior Software Engineer I to maintain, improve, and expand our web application and data pipelines. You will craft scalable, secure, maintainable solutions that address the complex challenges in healthcare, with emphasis on observability, testing, and frequent releases.

Collaborate with Engineering Managers, Product Managers, and stakeholders to shape technical roadmaps using Agile, and mentor junior engineers while advancing AI initiatives across the platform.

Qualifications

• BS/BTech in Computer Science, Engineering or a related field.
• 4+ years building full-stack web apps in cross-functional teams.
• 3+ years with SQL on large multi-table datasets.
• 2+ years as a trusted technical decision-maker.
• 2+ years coaching other engineers.

Responsibilities

• Improve AI/ML infrastructure for model development, training, and deployment.
• Design multi-year vision for generative AI areas - text, image, multimodal, content creation.
• Architect systems to make complex data sets accessible and actionable.
• Design and implement prompt engineering strategies for generative AI.
• Collaborate with Product Management, Practices, Sales, Customer Success, and other stakeholders to identify AI use cases.
• Analyze product usage patterns and trends to forecast generative AI applications.
• Maintain security of patient health information and ensure compliance with regulations.
• Contribute to APIs and interfaces for integrating AI capabilities into healthcare systems.

Skills

Full-stack development

Cross-functional collaboration

Mentoring

Technical decision-making

Agile

Education

BS/BTech in Computer Science or related field

Tools

SQL

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:

• 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.
• 4+ 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.
• 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
• 2+ years of experience coaching other engineers.

Responsibilities:

• 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.