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