AI Engineer

Responsibilities

• check_circle As a LLM Full Stack Engineer, you will be responsible for developing and integrating applications with Large Language Models and other enterprise services. Your day-to-day activities will involve leveraging front-end and server-side technologies to develop APIs, implementing DevOps practices, and optimizing Artificial Intelligence applications. You are expected to be a subject matter expert with deep knowledge and experience, possess influencing and advisory skills, and be responsible for team decisions. You will engage with multiple teams and contribute key decisions while providing solutions to problems that apply across various teams. Expert proficiency in Cloud Infrastructure is required. Expert proficiency in API Design is recommended. Additionally, expert proficiency in Google Cloud Data Services, Database Management, Front-End Engineering, and Back-End Development is suggested.
• check_circle Collaborate with cross-functional teams to ensure seamless integration of applications.
• check_circle Design and implement scalable APIs that enhance application performance.
• check_circle Utilize best practices in DevOps to streamline development and deployment processes.
• check_circle Conduct code reviews and provide constructive feedback to team members.
• check_circle Stay updated with the latest trends in AI and cloud technologies to drive innovation.

Basic qualifications

• React.js
• Backend Development
• Google Cloud Data Services

Preferred qualifications

• Cloud Infrastructure
• Data Engineering
• Database Management

About the company