AI Data Engineer

Rosnet LLC • Parkville, MO

1d • Hybrid

About The Position

Rosnet is looking for an experienced AI Data Engineer to sit at the intersection of data engineering, machine learning infrastructure, and AI-driven product development. In this role, you will design, build, and maintain scalable data pipelines and AI/ML workflows that power Rosnet’s analytics products and operational intelligence capabilities. You will collaborate closely with the Data, Product, and Engineering teams to deliver reliable, high-quality data solutions to embed AI capabilities directly into the product and internal workflows. This is an individual contributor role for someone who brings deep technical expertise and thrives in an environment where their work has direct, visible impact on the business and the clients we serve.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field—or equivalent professional experience.
• 5–10 years of professional experience in data engineering, with at least 2 years involving AI/ML pipeline development or MLOps.
• Demonstrated experience building production-grade data pipelines and working in cloud-based data environments.
• Proficiency in Python (or similar) for data engineering and ML model development.
• Strong SQL skills including complex query writing, data modeling, and performance tuning.
• Hands-on experience with cloud data platforms (Azure preferred; AWS or GCP considered).
• Experience with Delta Lake / Parquet and medallion (Bronze–Silver–Gold) lakehouse design on platforms such as Microsoft Fabric or Databricks, including table optimization and maintenance.
• Experience with data orchestration tools (e.g., Apache Airflow, Azure Data Factory, or similar).
• Familiarity with vector databases, embedding pipelines, or Retrieval-Augmented Generation (RAG) architectures.
• Experience with AI/ML frameworks and LLM tooling — e.g., scikit-learn and XGBoost/LightGBM for predictive ML (PyTorch/TensorFlow a plus); MLflow for experiment tracking and model management; Azure OpenAI and Anthropic Claude APIs; and agent/orchestration frameworks such as Semantic Kernel or LangChain (or equivalent).
• Working knowledge of API integration and data ingestion from third-party platforms.
• Familiarity with a BI and semantic-modeling platform (e.g., Power BI, Tableau, or Looker); hands-on knowledge of Power BI semantic modeling — DAX, TMDL, and XMLA endpoints — as an analytics serving layer is a strong plus.
• Proficiency with version control and collaborative development workflows (e.g., Git); familiarity with CI/CD practices a plus.
• Working knowledge of data governance, security, and PII/sensitive-data handling in a production environment.
• Ability to translate ambiguous business problems into structured, scalable data solutions.
• Strong debugging and troubleshooting skills across the full data stack.
• Comfort working with large, complex, and sometimes messy datasets in a production environment.
• Ability to communicate technical concepts clearly to non-technical stakeholders, including product managers and business leaders.
• Collaborative working style with a strong sense of ownership and follow-through.
• Comfortable operating with autonomy in a lean, fast-moving team environment.
• Must be authorized to work in the United States

Nice To Haves

• Experience in the SaaS industry strongly preferred; restaurant, hospitality, or foodservice industry experience is a plus.
• Experience with real-time or streaming data pipelines (e.g., Kafka, Spark Streaming, or similar).
• Exposure to AI-assisted development tooling (e.g., Claude Code, GitHub Copilot) and comfort using these tools in daily workflows.
• Experience supporting multi-unit restaurant, retail, or franchise operators with data and analytics.
• Relevant certifications in cloud platforms, data engineering, or AI/ML (e.g., Azure Data Engineer Associate, AWS Certified ML Specialty).

Responsibilities

• Design, build, and maintain robust ETL pipelines that ingest, transform, and serve data across Rosnet’s platform.
• Develop and manage data models, schemas, and warehousing structures that support reporting and analytical workloads.
• Ensure data quality, integrity, and observability through monitoring, testing, and documentation practices.
• Optimize pipeline performance and cost efficiency across cloud-based data infrastructure.
• Build and operationalize AI/ML models and workflows, including LLM-based features, predictive analytics, and intelligent automation.
• Develop and maintain MLOps infrastructure including model training pipelines, versioning, deployment, and monitoring.
• Evaluate and integrate third-party AI tools and APIs (including LLMs and generative AI platforms) into data and product workflows.
• Partner with Product and Engineering teams to translate business needs into AI-powered features and data products.
• Work cross-functionally with Product, Engineering, and Client Services to define data requirements and deliver solutions.
• Contribute to architectural decisions and technical standards within the Data team.
• Document systems, pipelines, and processes clearly to support team knowledge-sharing and operational continuity.
• Mentor and support junior data team members as the team grows.

Benefits

• This position is primarily performed in an office-based environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role in accordance with the Americans with Disabilities Act (ADA) and applicable state laws.
• Primarily sedentary role with extended periods of computer use.
• Hybrid work model; expected to work from the Kansas City office on a regular cadence as defined by department leadership.
• Ability to attend virtual and in-person meetings as required, including occasional cross-functional or company-wide gatherings.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior