Agentic AI Data Engineer

Job Description: We are looking for an experienced Agentic AI Data Engineer to help build intelligent data platforms and AI-driven solutions that support business decision-making. This role combines data engineering, cloud technologies, and modern AI capabilities to create scalable systems that automate processes and enable advanced analytics., * Design, develop, and maintain scalable data pipelines for structured and unstructured data.

• Build and support cloud-based data platforms and data warehouses.
• Assist in the development and deployment of AI and machine learning solutions.
• Work with modern AI frameworks and Large Language Model (LLM) applications.
• Develop APIs and services that integrate AI capabilities into business applications.
• Ensure data quality, reliability, security, and governance across data platforms.
• Collaborate with data scientists, business analysts, and engineering teams to deliver AI-enabled solutions.
• Monitor and optimize data workflows for performance and cost efficiency.
• Contribute to the design and implementation of intelligent automation solutions.

Do you have experience in Schema design?, Data Engineering

• Strong proficiency in Python and SQL.
• Experience building and maintaining ETL/ELT pipelines.
• Good understanding of data modeling and database design principles.
• Familiarity with batch and real-time data processing.

Cloud & Data Platforms

• Hands-on experience with cloud platforms, preferably AWS.
• Exposure to cloud storage, data integration, and analytics services.
• Understanding of modern data lake or data warehouse concepts.

AI & Analytics

• Basic understanding of AI/ML concepts and Generative AI applications.
• Familiarity with LLM-based solutions and retrieval-based architectures is an advantage.
• Exposure to AI orchestration frameworks or intelligent workflow automation is a plus.

Preferred Qualifications

• Experience working on data modernization or AI initiatives.
• Exposure to RAG, LangChain, LlamaIndex, or similar technologies.
• Understanding of MLOps or LLMOps concepts.

Soft Skills

• Strong analytical and problem-solving skills.
• Good communication and collaboration abilities.
• Ability to work effectively in a fast-paced, team-oriented environment.
• Curiosity and willingness to learn emerging AI technologies., * Bachelor’s in Computer Science, Engineering, Information Technology, or a related field.
• 5+ years of experience in Data Engineering, Cloud Engineering, or AI/ML Engineering.
• Experience delivering enterprise data or AI solutions is preferred.

Qualifications: Education & Experience

• Bachelor’s in Computer Science, Engineering, Information Technology, or a related field.
• 5+ years of experience in Data Engineering, Cloud Engineering, or AI/ML Engineering.
• Experience delivering enterprise data or AI solutions is preferred.

3.73.7 out of 5 stars United States Hybrid work $100,000 - $150,000 a year - Full-time