Remote Senior Software Engineer II - AI/ML

Description:

• Hatch I.T. is partnering with a rapidly growing healthcare technology company to find a Senior Software Engineer II - AI/ML.
• As a Senior Software Engineer II, the candidate will maintain, improve, and expand the web application and data pipelines.
• The role requires engineers who understand that writing new code is not always the solution to a problem; they must create secure, maintainable, performant, correct, scalable, and stable solutions to complex challenges in the healthcare industry.
• The company embraces strategies that minimize risk, focusing on observability, alerting, metrics, high test coverage, and frequent releases that incrementally build value.
• Primary duties include developing and implementing scalable and performant solutions, partnering with Engineering Managers, Product Managers, and stakeholders to develop and execute technical roadmaps using Agile processes, and mentoring junior engineers through thorough pull request reviews.

Requirements:

• A BS/BTech (or higher) in Computer Science, Engineering, or a related field is required.
• The candidate must have 6+ years of experience as an engineer building full-stack web applications as part of a cross-functional team.
• A minimum of 3+ years of experience working with SQL or other database querying languages on large multi-table data sets is necessary.
• The candidate should have 3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for both short-term and long-term business value.
• The role requires 3+ years of experience coaching other engineers.

Benefits:

• The position offers the opportunity to improve AI/ML infrastructure for model development, training, and deployment, focusing on large language models and generative AI architectures.
• The candidate will have the chance to design a multi-year vision, shaping the direction of crucial generative AI areas such as text generation, image synthesis, multimodal models, and personalized content creation.
• The role includes the opportunity to architect systems that enhance the capabilities and relevance of AI models, making complex data sets more accessible and actionable.
• The candidate will design and implement prompt engineering strategies to effectively guide generative AI models.
• The position involves working closely with various stakeholders to identify and prioritize applied AI use cases within the organization.
• The role allows for analyzing product usage patterns and trends to make data-driven decisions and forecasts for generative AI applications.
• The candidate will maintain the security of protected patient health information and ensure compliance with relevant regulations in the context of AI.
• The position includes contributing to the development of APIs and interfaces for integrating generative AI capabilities into existing healthcare systems and applications.