AI-Powered Developer Tools Engineer

ByteDance; San Jose (CA); On-site; USD 128,000 - 317,000; Full time

Job summary

ByteDance is seeking graduates to join a team building AI-powered developer tools, IDE integrations, and CLI experiences to boost engineering productivity. Candidates will tackle prompts, model context, and harness engineering while contributing to data pipelines and evaluation frameworks for code quality.

The role focuses on exploring advances in LLMs, code intelligence, and autonomous software engineering, with opportunities to impact a broad range of internal tooling.

Qualifications

• Bachelor's/Master's in CS/AI/SE or related discipline.
• Strong programming skills in Python, Go, Java, C++, JavaScript or TypeScript.
• Solid understanding of data structures, algorithms, OS, databases, networks, and system design.
• Familiarity with ML, NLP, generative AI, or large language models.
• Good communication and cross-functional collaboration skills.
• Passion for developer tools, infrastructure, AI, and improving productivity.

Responsibilities

• Develop and deliver internal AI-powered developer tools to improve engineering productivity across the software development lifecycle.
• Improve AI system performance through prompt, context, and harness engineering.
• Develop data pipelines, benchmarks, and evaluation frameworks for code correctness, latency, reliability, and safety.
• Explore advances in large language models, code intelligence, program analysis, and autonomous software engineering.

Skills

Python

Go

Java

C++

JavaScript

TypeScript

Data structures

Algorithms

Systems design

ML basics

Education

Bachelor's/Master's in CS/AI/SE

Job description

ByteDance is seeking graduates to join a team building AI-powered developer tools, IDE integrations, and CLI experiences to boost engineering productivity. Candidates will tackle prompts, model context, and harness engineering while contributing to data pipelines and evaluation frameworks for code quality.

The role focuses on exploring advances in LLMs, code intelligence, and autonomous software engineering, with opportunities to impact a broad range of internal tooling.