Principal Software Engineer - GenAI

Job highlights
Identified by Google from the original job post
Qualifications
Bachelor’s degree in Computer Science, or related field - preferrable from a highly recognized US school
4 years or more of prior experience in Software Engineering
Deep knowledge of Python and/or TypeScript
Experience (personal or professional) building GenAI-powered applications
Experience managing large-scale online production services or OLAP databases
Responsibilities
You’ll play a foundational role on this small but growing team, developing a new generation of tools for the most consequential emerging market today
You’ll ship core functionality, gather feedback directly from early users, and use your own intuition to continually improve the product
Implement robust and ergonomic open-source client APIs
Design and implement integrations with popular LLM tools such as LlamaIndex, Langchain, and Instructor
Scale and improve the backend performance to support low latency and high volume production use cases
Build delightful features such as multi-modal evaluations, LLM playgrounds, and dataset editing/drill-down capabilities
Job description
Are you an experience Python/TypeScript Software Engineer?

Do you have a strong interest in GenAI?

My client is a fast growing (Series C $250m) VC backed Technology company who are looking for a Software Engineers (all levels).

You’ll play a foundational role on this small but growing team, developing a new generation of tools for the most consequential emerging market today.

You’ll ship core functionality, gather feedback directly from early users, and use your own intuition to continually improve the product.

Interested?

Requirements
• Bachelor’s degree in Computer Science, or related field - preferrable from a highly recognized US school.
• 4 years or more of prior experience in Software Engineering.
• Deep knowledge of Python and/or TypeScript.
• Experience (personal or professional) building GenAI-powered applications.
• Experience managing large-scale online production services or OLAP databases.

Responsibilities
• Implement robust and ergonomic open-source client APIs.
• Design and implement integrations with popular LLM tools such as LlamaIndex, Langchain, and Instructor.
• Scale and improve the backend performance to support low latency and high volume production use cases.
• Build delightful features such as multi-modal evaluations, LLM playgrounds, and dataset editing/drill-down capabilities.

Apply here or contact Sam Shinner at Discover International if you're interested.