AI Engineer

Responsibilities:

• Data Analysis & Pipeline Management: Analyze raw data to extract valuable insights and design, build, and maintain scalable data pipelines to ensure a reliable flow of information for our AI systems.
• AI Agent Development: Develop, train, and deploy autonomous AI agents that operate on top of our data, automating tasks and generating insights.
• Architectural Design: Architect and implement the end-to-end systems for our AI products, ensuring they are robust, efficient, and scalable.
• User Interface & Experience: Create user-facing interfaces, similar to conversational tools like ChatGPT, that allow users to easily interact with and extract value from our AI agents and data.
• Problem Solving: Identify and solve complex technical challenges related to data processing, model deployment, and system integration.
• User Advocacy: Champion the user throughout the development process, ensuring that the final product is intuitive, effective, and addresses real-world user problems.

Qualifications:

• Proven experience in data analysis, machine learning, and artificial intelligence.
• Strong proficiency in programming languages such as Python.
• Experience in building and managing data pipelines and ETL workflows.
• Demonstrated ability to develop and deploy AI agents or large language model (LLM)-based applications.
• Solid understanding of system architecture, cloud computing platforms (e.g., AWS, GCP, Azure), and microservices.
• A portfolio of work that demonstrates the ability to create user-centric and intuitive interfaces.
• Excellent communication and collaboration skills