The Trade Desk is looking to accelerate engineering velocity and improve developer workflows by building AI-powered developer platforms that reduce developer friction through intelligent and scalable platforms.
Requirements
- Proven experience integrating AI/LLM-based tools into production systems.
- Strong backend development skills in C-Sharp/Java, Python, Go and experience with cloud-native platforms (AWS/Kubernetes, Databricks).
- Deep understanding of GenAI techniques including MCP, RAG, prompt engineering, and model fine-tuning.
- Experience building scalable, robust services and developer-facing tools.
- Experience with tools like Claude Code, Cursor, Claude/OpenAI APIs, LangFuse, or similar.
- Contributions to open-source developer tools or AI frameworks.
Responsibilities
- Architect and implement scalable backend services and developer tools that integrate with LLMs and GenAI systems.
- Design and build AI-powered developer productivity solutions such as code review agents, smart CI/CD pipelines, and local dev environments.
- Collaborate with ML engineers, product managers, and platform teams to deliver end-to-end AI-enhanced developer experiences.
- Lead technical direction, mentor engineers, and drive adoption of internal platforms across engineering teams.
- Ensure reliability, observability, and performance of developer infrastructure and AI systems.
- Stay current with emerging AI technologies and developer tooling trends to continuously improve platform capabilities.
Other
- 8+ years of software engineering experience, with 3+ years in developer platform/productivity teams.
- Strong communication and collaboration skills across cross-functional teams.
- Passion for improving developer experience and productivity
- Prior experience in technical leadership roles.
