Senior Software Engineer II - AI/ML
Job Summary
Job Description
As a Senior Software Engineer II at Aledade, you will maintain, improve, and expand the company's web application and data pipelines. The role involves developing secure, maintainable, performant, correct, scalable, and stable solutions for challenges in the healthcare industry, embracing strategies that minimize risk through observability, alerting, metrics, high test coverage, and frequent releases. Primary duties include developing scalable solutions, partnering with stakeholders on technical roadmaps using Agile processes, and mentoring junior engineers through code reviews. Responsibilities focus on improving AI/ML infrastructure for model development, training, and deployment, especially for large language models and generative AI architectures, while also shaping the multi-year vision for these areas.
Must have:
- 6+ years experience as an engineer building full-stack web applications
- 3+ years of experience with SQL or other database querying language
- 3+ years of experience acting as a trusted technical decision-maker
- 3+ years of experience coaching other engineers
- Develop and implement scalable and performant solutions
- Partner with stakeholders on technical roadmaps
- Mentor and coach junior engineers
Good to have:
- Improve AI/ML infrastructure
- Design multi-year vision for generative AI
- Architect systems to enhance AI model capabilities
- Design and implement prompt engineering strategies
- Work with Product Management and other stakeholders
- Analyze product usage patterns for AI applications
- Maintain security of patient health information
- Contribute to API development for AI integration
5 skills required
Job Details
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.
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:
- 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.
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