AI/ML Engineer

Tripleseat; United States; Hybrid; USD 150,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

401(k) with Company Match

Parental Leave

Flexible Paid Time Off

Learning Access

Pet Insurance

Commuter Benefits

Employee Discounts

Job summary

Tripleseat is seeking an AI/ML data engineer to design and ship AI features, build semantic layers, and extend data pipelines using dbt and cloud data warehouses. You will translate business requirements into scalable AI solutions and collaborate with product and engineering teams to ensure reliability and production readiness.

Open to remote candidates in the United States, with Week 1 onboarding in Concord, MA and occasional in‑office visits.

Qualifications

• 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 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 with LLM APIs, agent frameworks, or RAG pipelines.
• Experience with dbt or similar transformation tools and extending dbt models.

Responsibilities

• Design and build AI and ML features that ship to production with evaluation frameworks and guardrails.
• Develop and maintain semantic and metrics layers over data models.
• Build 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 to translate business requirements into AI solutions.
• Monitor and improve performance, quality, and maintainability of AI systems.

Skills

Strong SQL skills

Python

Strong communication skills

LLM APIs

Tools

Snowflake MCP

dbt

LookML

Git

Cortex

Snowflake Copilot

Dagster

Job description

Tripleseat is the leading web-based event management and sales platform designed for restaurants, hotels, and unique venues. Our mission is to simplify and streamline the event planning process, allowing our clients to focus on delivering exceptional customer experiences. We pride ourselves on fostering a collaborative, innovative work environment that encourages growth and development.

What You'll Own

• 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

What You'll Bring

• 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
• Direct experience with the Snowflake MCP server or other Snowflake AI tooling (Cortex, Snowflake Copilot) is a plus
• Experience shipping customer-facing AI or ML features inside a Tripleseat is a plus
• Familiarity with vector databases and retrieval-augmented Tripleseat is a plus
• Experience with pipeline orchestration tools such as Dagster Tripleseat is a plus
• Familiarity with AWS or another Tripleseat is a plus
• Experience leveraging AI-assisted development tools such as GitHub Copilot, Cursor, or Claude to Tripleseat is a plus
• Experience working in a fast-growing SaaS company or Tripleseat is a plus

This position is open to remote candidates eligible to work in the United States. Week 1 of onboarding is in-person, based out of our Concord, MA office. A hybrid work schedule will be offered if the ideal candidate is based near our Concord, MA office. Additional travel may be required for quarterly in-office visits for meetings, company events, and training.

Salary Range

$150,000 to $180,000 annually

Compensation is based on a variety of factors, including relevant experience, skill set, geographic location, and alignment with our internal compensation framework. This role is also eligible for additional benefits and incentives.

Tripleseat truly values its employees and places a high emphasis on their well-being and happiness. We understand that our people are the driving force behind our success and strive to create a positive and supportive work environment. We love what we do and who we get to do it with!

Benefits are subject to change and may vary based on role and location. Here are some of the awesome benefits that Tripleseat offers to its employees:

• 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

We are proud to be an equal-opportunity employer and do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information. Everyone Valued - Everyone Included.