AI/ML Software Engineer
Hands-on AI/ML engineer building LLM applications, ML-powered product capabilities, data pipelines, and scalable data infrastructure across ASG's portfolio of SaaS companies. Works in Python/R/SQL with a modern data/ML stack (Bedrock, Sagemaker, Vertex AI, Airflow, Spark, Kafka, Databricks, dbt) and advises/enablements OpCo teams. Remote role with $200k-$250k base plus bonus.
- Compensation
- $200K–$250K / yr
- Location
- Remote
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- Demonstrated experience deploying machine learning, data engineering, and applied AI solutions at scale
- Familiarity with LLM-based applications, model APIs, retrieval workflows, evaluation approaches, and production deployment patterns
- Production experience with several of: Bedrock, Sagemaker, Vertex AI, Glue, Airflow, Spark, Hadoop, Storm, time series databases, Parquet, Iceberg, Redshift, Kafka, Kinesis, BigQuery, Cassandra, Open/
- Experience developing solutions and analyzing data in Python, R, and SQL
- Excellence in data validation, ensuring LLM/ML solutions produce valid, grounded results
- Understanding of LLM fine-tuning and inference economics, with judgment on frontier vs fine-tuned smaller/open-source models
- Experience building reliable forecasting solutions (sales projections, budget forecasts, demand forecasting, capacity planning, etc.)
- Experience translating business problems and data opportunities into practical AI/ML solutions
- Knowledge of modern data architecture and best practices across ingestion, transformation, governance, quality, and access
- Strong judgment around model performance, system reliability, security, and maintainability in production
- Curiosity and discipline to stay current with advancements in AI tooling, LLMs, and applied ML
- Strong communication skills working with engineering, product, data, and business stakeholders
- Comfortable supporting cross-company enablement via knowledge sharing and practical guidance
Full description
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