Data & AI Engineer

Location: Remote - USA

Annual base pay: USD 89,700–143,800 for the San Francisco Bay Area; USD 78,000–125,000 for select US metros and states; USD 70,200–112,500 for other US locations. The range depends on geographic location, residence, skills, knowledge, and experience. The role may also be eligible for a bonus.

Company

hirify.global provides cloud, software platforms, systems, and services that help communications service providers simplify operations, improve subscriber experiences, and grow their value.

What you will do

• Design, build, and optimize scalable data pipelines that collect, clean, organize, and integrate data from multiple sources.
• Develop and deploy machine learning models for enterprise use cases, applying advanced data engineering and machine learning techniques.
• Build intelligent applications, including chatbots, automation tools, autonomous agents, and AI-driven automation platforms.
• Integrate data and AI solutions, APIs, and models with business applications and enterprise platforms.
• Ensure data quality, security, compliance, and reliable governance across data and AI projects.
• Collaborate with cross-functional teams, document processes, and share technical knowledge.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• At least 3 years of hands-on experience in data engineering, machine learning engineering, or AI solution development.
• Strong Python programming skills and proficiency in SQL for data querying, transformation, and analysis.
• Experience building and maintaining data pipelines with modern tools such as dbt, Fivetran, or Airflow.
• Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Synapse, and with at least one major cloud provider: AWS, GCP, or Azure.
• Practical experience with machine learning model training, evaluation, and deployment, plus exposure to MLOps practices including model packaging, CI/CD, and monitoring.
• Experience integrating data and AI solutions with business or enterprise platforms, including API integration.
• Ability to develop and support intelligent applications such as chatbots and automation tools.
• Knowledge of data quality assurance, security, compliance best practices, and governance frameworks; experience documenting processes and sharing technical knowledge.
• Strong problem-solving, collaboration, written communication, and verbal communication skills.

Nice to have

• Master’s degree or higher in a relevant field.
• Advanced experience building scalable, high-performance data architectures and ETL frameworks.
• Advanced experience designing, training, and deploying complex machine learning models for real-world applications.
• Experience with agentic AI systems, autonomous agents, advanced chatbots, or AI-driven automation platforms.
• Experience implementing and maintaining data governance frameworks, including data lineage, metadata management, privacy, and compliance.
• Experience with Docker and modern software development practices.
• Exposure to vector databases, semantic search, or feature stores.

Culture & Benefits

• Full-time remote work limited to the USA.
• Compensation varies by candidate location and other job-related factors.
• Potential eligibility for a bonus as part of the total compensation package.
• Benefits are available as part of the compensation package.