Back-End AI Engineer
Listed on 2026-01-12
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IT/Tech
AI Engineer, Data Engineer, Machine Learning/ ML Engineer, Data Science Manager
Right Rev is redefining revenue recognition for modern businesses. Our platform seamlessly integrates with Salesforce CPQ and billing systems to automate revenue processes in compliance with ASC 606. We’re building a smarter, faster way for high-growth companies to recognize revenue with confidence.
Role Overview:We are seeking a skilled and innovative AI Developer with deep expertise in Snowflake to join our Data & AI team. The ideal candidate will design, implement, and optimize scalable data pipelines and AI/ML solutions using Snowflake’s advanced features, integrating structured and unstructured data to drive AI-powered insights and applications.
Key Responsibilities:- Design and develop AI/ML pipelines using Snowflake’s Snowpark, Python UDFs, and external functions
- Build and optimize data ingestion, transformation, and feature engineering workflows within Snowflake.
- Collaborate with data scientists, data engineers, and product managers to operationalize AI models within Snowflake.
- Use Snowflake’s native ML capabilities, or integrate with external ML platforms (e.g., Google Cloud AI Platform (Vertex AI), Sage Maker, Data Robot, Azure ML).
- Develop and maintain reusable components, scripts, and templates for scalable AI solutions.
- Ensure data governance, lineage, and security compliance across AI workflows in Snowflake.
- Monitor and tune Snowflake performance for AI workloads and ensure cost-efficient operations.
- Stay current with developments in AI/ML tooling, Snowflake features, and cloud-native architecture.
- Maintain best practices in cloud infrastructure, CI/CD, and Dev Ops processes
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
- 3–7 years of experience in AI/ML development and data engineering.
- Strong proficiency in Snowflake – including Snowpark, SQL, UDFs, and Streams/Tasks.
- Hands-on experience with Python, particularly in the context of data pipelines and ML.
- Familiarity with cloud platforms such as AWS, Azure.
- Strong understanding of machine learning concepts, model lifecycle, and MLOps practices.
- Experience in working with large-scale data systems and performance optimization.
- Familiarity with version control systems (e.g., Git) and issue tracking tools (e.g., JIRA)
- Understanding of software engineering best practices and scalable system design
- Excellent problem-solving skills and attention to detail
- Snowflake Certification is a plus.
- Snow Pro Core or Advanced certification(s).
- Experience integrating Snowflake with tools like dbt, Airflow, or MLFlow.
- Knowledge of NLP, time-series forecasting, or generative AI use cases.
- Remote-first team with a strong focus on collaboration and innovation
- Competitive salary, equity package, and comprehensive benefits
- Opportunity to work on meaningful problems in a high-growth SaaS environment
- Join a passionate team building the next generation of revenue recognition technology
Ready to shape the future of revenue automation? Apply today and be part of something
transformational at Right Rev.
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