Sr AI Engineer

The Trade Desk
Irvine, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 229K

Job location

Irvine, United States of America

Tech stack

API
Artificial Intelligence
Automation of Tests
Azure
C Sharp (Programming Language)
Continuous Delivery
ETL
Python
Search Technologies
Software Engineering
SQL Databases
TypeScript
Enterprise Data Management
Data Ingestion
Microsoft Power Automate
React
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
Build Management
Kubernetes
Information Technology

Job description

You'll join a software engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval-augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company-supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Senior AI Engineer on this team, you'll be an end-to-end owner-collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We're a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you'll do:

Some of the work that you will be doing to help us deliver on our mission is:

  • 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 deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
  • 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., A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked.

Requirements

Do you have experience in Stakeholder management?, Do you have a Master's degree?, * You have a Bachelor's/Master's level degree in computer science or relevant engineering-related field or equivalent experience.

  • You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
  • You are proficient in Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
  • You're excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
  • You have a good foundational knowledge of or 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.
  • 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.

About the company

The Trade Desk is a global technology company and the world's leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet - from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world's brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges - from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you're driven to solve meaningful challenges, we'd love to meet you.

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