AI Engineer – Data Engineering & Experimentation (Mid/Senior Level)

This role is part of the Jobright Direct Hiring Network, where top companies like Cresta AI, Plaud, Mercor, OpenArt, and 1,500+ others hire top talent directly through our platform.

This is not a mass job posting. Only select, high-signal candidates are invited and recommended directly to hiring teams

Hiring Company: TOKADREAM

One-liner: TokaDream is a technology-driven company focused on leveraging artificial intelligence and machine learning to deliver cutting-edge products and services.

Salary: $5,000/mo - $12,000/mo

Why Join Us:

Role Responsibilities

• Build and maintain scalable, automated ETL pipelines to support LLM-based systems and broader AI products

• Design and implement A/B testing frameworks to evaluate model, feature, and agent performance

• Collaborate with product managers, engineers, and data scientists in agile teams to define requirements and deliver features

• Participate in agile ceremonies including daily standups, sprint planning, and retrospectives

• Instrument production systems for performance monitoring, user behavior tracking, and system health

• Partner with analytics teams to ensure data quality, consistency, and accessibility across the organization

• Work closely with infrastructure teams to deploy and monitor model endpoints and workflows in production

• Contribute to documentation, code reviews, and team knowledge sharing to drive engineering excellence

Qualitications

Required

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field

• 3+ years of professional experience in software engineering, data engineering, or AI/ML-focused roles

• Experience designing and maintaining robust ETL processes using tools like Airflow, Spark, dbt, or custom data pipelines

• Familiarity with A/B testing tools, statistical evaluation metrics, and experimentation platforms

• Solid understanding of Agile principles and experience working in Scrum or Kanban development teams

• Strong proficiency in Python and SQL; experience with unit testing, Git, and CI/CD workflows

• Solid understanding of cloud platforms (AWS, GCP, or Azure) and experience with data lakes, warehousing, and storage systems

Preferred

• Background in building or integrating AI/LLM models into production applications

• Experience working with modern ML infrastructure (e.g., MLFlow, SageMaker, Vertex AI)

• Exposure to analytics tools (Looker, Tableau, or similar)

• Knowledge of data privacy and compliance concerns related to AI and user data