Senior Software Engineer AI - The Trade Desk : Job Details

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We value an inclusive culture where everyone can bring their authentic selves to work every day.

Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally-connected team where your contributions will make a meaningful difference in building a better media ecosystem?

Our Software Engineers are end-to-end owners who participate in many aspects of designing, building, and delivering data-focused products for our stakeholders. We focus on building backend infrastructure with quality at scale, supporting client-facing applications, internal solutions, and model pipelines for bidding optimizations.

We operate a distributed system that serves global traffic in a highly collaborative environment. Our back-end developers address algorithmic, optimization, and scale challenges across the stack.

Youll join a dedicated team focused on building internal-facing AI solutions that support teams across The Trade Desk. We leverage technologies like large language models, retrieval-augmented generation (RAG), and agentic tools to enhance productivity, streamline workflows, and reduce friction in everyday processes. Our work emphasizes high-quality, scalable applications that deliver measurable value and improve day-to-day operations.

As an AI Software Engineer on this team, youll be an end-to-end ownercollaborating with stakeholders, identifying opportunities, and delivering tools that make a real impact. We are nimble, fast-paced, and highly collaborative, transforming how teams operate and driving value across The Trade Desk.

• 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 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, guiding 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.

We are a global team with diverse backgrounds and perspectives. You will welcome ideas that differ from your own and foster inclusive collaboration to value, seek out, and incorporate diverse dimensions of diversity.

We value engineers who are trust-builders, generous problem solvers, and pursuers of excellence. You do not have to meet every requirement, but meeting most will help you succeed in this role:

• 7+ years of software engineering experience, including 2+ years on AI-powered systems or products.
• Proficiency in Python and experience with other languages such as C#, SQL, or TypeScript/React.
• Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs.
• Experience productionizing applications and implementing CI/CD pipelines for reliable, scalable deployments.
• Skilled in data ingestion and transformation using APIs, ETL pipelines, connectors, and familiarity with vector databases and retrieval strategies.
• Strong communication across technical and non-technical audiences and a collaborative, cross-functional mindset.
• Fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.
• Bachelors or Masters degree in computer science or a related field, or equivalent experience. Our consideration is not limited by education level.

Note: The Trade Desk is an equal opportunity employer. We do not discriminate on any protected status and are committed to providing reasonable accommodations for applicants with disabilities. This posting may contain location-specific statements related to job eligibility; where applicable, compensation ranges and benefits are included in the job description.