Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.
Position Overview: As a Software Engineer for the ML Team, you will be responsible for overseeing the development, implementation, automation of complex software solutions using Python, AI/ML. You will collaborate with the team of developers, providing technical guidance, and mentorship, and ensuring the delivery of high-quality code. You will also be responsible for automations, API integrations, code reviews, debugging, and optimizing performance to ensure the scalability and reliability of our applications.
Why it’s a big deal…
The ideal candidate will have a strong background in Python development with extensive experience in building and deploying web applications, APIs, data processing pipelines and deployment containers management. You should have a deep understanding of software development best practices, including version control, testing, and continuous integration. It would be nice if you are familiar with various Python frameworks and libraries, such as Flask, FastAPI, Pandas, Elastic, etc. Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are essential for this role. If you are passionate about showcasing engineering skills to make efficient AI products/services and have a proven track record of leading successful projects, we would love to hear from you. You should be hands-on in development and maintenance of AI/ML services.
Competencies: Python, SQL, data structures, data engineering, data querying and manipulation, algorithms, coding, problem solving, MLOps, monitoring, communication.