Note: The job is a remote job and is open to candidates in USA. Tripleseat is hiring an AI/ML Engineer to build and ship production AI and machine learning features, including LLM-powered workflows and retrieval-augmented generation. The role also develops trusted data and metrics layers and transformation pipelines, and collaborates with product and engineering teams to deliver and maintain reliable AI solutions.

Responsibilities

• Design and build AI and ML features that ship to production, including evaluation frameworks and guardrails to ensure accuracy and reliability
• Develop and maintain semantic and metrics layers that serve as trusted abstractions over our data models
• Build and extend data transformation pipelines using dbt and cloud data warehouse tooling
• Develop LLM-powered features, agent workflows, and retrieval-augmented generation pipelines
• Collaborate with product and engineering stakeholders to translate business requirements into technical data and AI solutions
• Monitor and improve the performance, quality, and maintainability of AI systems over time
• Other related duties as assigned

Skills

• 3+ years in an AI/ML engineering, analytics engineering, or data engineering role, with hands-on AI/ML project experience
• Strong SQL skills and experience working with a cloud data warehouse, ideally Snowflake
• Experience building semantic layers, metrics layers, or similar abstractions over data models (e.g., dbt Semantic Layer, Cube, LookML)
• Proficiency in Python, including experience building with LLM APIs, agent frameworks, or RAG pipelines
• Experience with dbt or similar transformation tools, and comfort reading and extending dbt models
• Experience designing AI features that ship to production, including evaluation and guardrails for accuracy
• Comfort working with Git for version control and collaborative development
• Strong communication skills with the ability to translate business and product needs into technical data and AI solutions
• Eligible to work in the United States
• Direct experience with the Snowflake MCP server or other Snowflake AI tooling (Cortex, Snowflake Copilot)
• Experience shipping customer-facing AI or ML features inside a Tripleseat
• Familiarity with vector databases and retrieval-augmented Tripleseat
• Experience with pipeline orchestration tools such as Dagster Tripleseat
• Familiarity with AWS or another Tripleseat
• Experience leveraging AI-assisted development tools such as GitHub Copilot, Cursor, or Claude to Tripleseat
• Experience working in a fast-growing SaaS company or Tripleseat

Benefits

• Remote work for candidates eligible to work in the United States; Week 1 of onboarding is in-person, based out of the Concord, MA office.
• A hybrid work schedule will be offered if the ideal candidate is based near the Concord, MA office.
• Eligible for additional benefits and incentives.
• Competitive Medical, Dental, and Vision Insurance
• Company Paid Life Insurance, Short- and Long-Term Disability Plans
• Supplemental Insurance Options
• Commuter Benefits
• 401(k) with Company Match
• Parental Leave
• Flexible Paid Time Off
• LinkedIn Learning Access
• Pet Insurance
• Employee Discount Programs

Company Overview