AI/ML Software Engineer

About the role

Company Description

ASG is an unconventional group of market-leading SaaS software companies, serving industries ranging from behavioral health to transportation to childcare. ASG believes deeply in the power of people and data to grow great organizations, and that sharing knowledge, expertise, and resources across its community of businesses drives exponential growth. ASG has acquired over 50 businesses since its inception in August of 2016. We are backed by Alpine Investors and operated by world-class PeopleFirstTM leaders. Founders of leading SaaS companies continue to trust ASG to grow their businesses and build even stronger legacies for the future. To learn more, visit www.alpinesg.com.

We hire and unleash a diverse array of leaders across ASG whose will to win - and ability to do so with love - is the true magic behind our success.

Job Description

This role is a hands-on builder for ASG’s portfolio companies, focused on developing AI/ML systems and data platforms that unlock new value from data. The AI/ML Engineer will lead and contribute directly to projects such as internal LLM applications, data pipelines, ML-powered product capabilities, and scalable data infrastructure. This person will work closely with operating companies to turn data into practical business outcomes, whether by enabling new products, improving decision-making, or building the technical foundations for AI adoption.

What You Will Do

- Lead high-impact AI/ML and data engineering projects across ASG portfolio companies, partnering directly with operating companies to design, build, and deliver solutions

- Build hands-on across AI/ML systems, including data pipelines, model integrations, internal LLM applications, APIs, and supporting infrastructure

- Develop LLM-powered tools and workflows that enhance business operations, internal productivity, and product capabilities

- Partner with portfolio companies to identify opportunities to commercialize data through new products, features, and analytics offerings

- Serve as a technical leader and trusted advisor to engineering and data teams across the portfolio, helping shape practical approaches to AI and data adoption

- Contribute to enablement efforts across the portfolio by sharing practical guidance, examples, and best practices for AI/ML and data engineering

- Support training sessions, workshops, and working sessions that help OpCo teams build stronger capabilities in AI, ML, and data infrastructure

- Help establish repeatable patterns, playbooks, and best practices for building and deploying AI/ML and data solutions across multiple companies

- Collaborate closely with portfolio leadership, product stakeholders, and engineering teams to identify where AI, ML, and better data infrastructure can drive measurable impact

- Own the full delivery lifecycle from scoping through production handoff, including structured knowledge transfer that leaves teams capable of owning and extending what was built