The Trade Desk is looking to build internal-facing AI solutions to enhance productivity, streamline workflows, and eliminate friction in everyday processes for their teams. This involves leveraging technologies like large language models, retrieval-augmented generation, and agentic tools to create high-quality, scalable applications that deliver measurable value and improve day-to-day operations.
Requirements
- You have 7+ years of software engineering experience, including 2+ years working on AI-powered systems or products.
- You are proficient in Python and comfortable with additional languages such as C-Sharp, SQL, or TypeScript/React.
- You have hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs.
- You have experience productionizing applications and implementing CI/CD pipelines to ensure reliable, scalable deployments.
- You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
Responsibilities
- Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
- Develop Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
- Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
- Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
- Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
- Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.
Other
- You welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity.
- You take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence.
- You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
- You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.
- You have a Bachelor's/Master's level degree in computer science or relevant engineering-related field or equivalent experience.
