About the position
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 have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces 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? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally. Our Software Engineers are end-to-end owners who have the opportunity to participate in many aspects of designing, building, and delivering data-focused products for our stakeholders. At The Trade Desk, we believe in building the back-end infrastructure of our platform with a focus on quality at scale. This means whether we are building parts of our client-facing applications, internal custom solutions for our own team members, or model pipelines for bidding optimizations, we are making sure that we have infrastructure, development, and tools to do it right and efficiently. Our system performs all day, every day serving global traffic. We build a distributed system in a highly collaborative environment, utilizing a broad range of technologies. Our back-end developers work on finding solutions to algorithmic, optimization and scale challenges in everything we do.
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.
Requirements
- 7+ years of software engineering experience, including 2+ years working on AI-powered systems or products.
- Proficient in Python and comfortable with additional 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 to ensure reliable, scalable deployments.
- Skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
- Ability to communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
- Fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.
- Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
Benefits
- Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents.
- Retirement benefits such as a 401k plan and company match.
- Short and long-term disability coverage.
- Basic life insurance.
- Well-being benefits.
- Reimbursement for certain tuition expenses.
- Parental leave.
- Sick time of 1 hour per 30 hours worked.
- Vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter.
- Around 13 paid holidays per year.
- Employees can purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.
