AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses, and governments to solve complex challenges. The company builds secure, enterprise-ready applications powered by cutting-edge technology, specifically tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact, guided by a strong commitment to research and responsibility, creating transformative solutions that drive progress and empower communities.
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As a Data Engineer at AI71, you will be instrumental in developing scalable, robust, and efficient data pipelines to support the development of enterprise-grade generative AI products and intelligent agents. You will collaborate closely with cross-functional teams to process and structure data that fuels AI models, ensuring seamless integration and delivery of insights to enterprise clients.
What You'll Do:
- Data Infrastructure Development: Design, implement, and maintain scalable data pipelines tailored for training and fine-tuning generative AI models. Optimize data architectures for ETL/ELT processes, focusing on high-dimensional and unstructured datasets.
- Data Integration and Management: Integrate enterprise data from diverse sources (APIs, cloud-based storage, proprietary databases) while ensuring compliance with security and privacy standards. Maintain large-scale data warehouses and data lakes for model training and analytics.
- Collaboration: Partner with data scientists and AI researchers to understand data requirements for model development and evaluation. Work with product managers and engineers to align data solutions with business and product goals.
- Performance and Optimization: Monitor and optimize data workflows for handling large-scale, real-time data streams used by AI agents. Ensure data systems are scalable, secure, and cost-effective.
- Data Quality and Compliance: Implement systems to ensure the quality, accuracy, and consistency of training data. Ensure compliance with enterprise data governance policies and privacy regulations (e.g., GDPR, CCPA) and AI ethics guidelines.
What You'll Bring:
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
- 6+ years of proven experience in building and maintaining large-scale data pipelines and architectures.
- Proficiency in programming languages such as Python and Java or Scala.
- Expertise in SQL and experience with distributed data processing tools (e.g., Apache Spark, Hadoop, Kafka).
- Familiarity with cloud platforms (AWS, GCP, or Azure) and their data-related services (e.g., S3, BigQuery, or Azure Data Lake).
- Experience working with unstructured data (text, images, videos).
Preferred Qualifications:
- Knowledge of MLOps and AI lifecycle workflows is a plus.
- Experience with generative AI technologies and frameworks (e.g., Hugging Face, OpenAI API).
- Familiarity with enterprise data tools (e.g., Snowflake, Databricks).
- Understanding of natural language processing (NLP) concepts and techniques.
Why AI71:
- Mission-Driven Work: Work on cutting-edge AI applications with a talented team, solving real-world challenges.
- Unparalleled Opportunity: Innovate and solve real challenges using AI with access to world-leading models and resources.
- Career Growth: Competitive compensation and benefits, with significant career growth opportunities as a foundational team member.
- World-Class Environment: Flexible working environment with the latest tools and technologies to support your best work.
