AdTechTalent
Engineering1 month agoOn-site

The Trade Desk

Sr AI Engineer

pythonc#sqltypescriptreactllmlangchainllamaindexsemantic kernelmicrosoft copilotanthropic clauderagai enablementci/cdvector databasesetlsoftware engineeringai engineering

Key details

Salary

$125K – $229K

Employment type

Full-time

Seniority

Senior

Years experience

5+

Location

Bellevue, United States

Full job description

The Trade Desk is hiring a Senior AI Engineer to build internal AI solutions supporting teams across the company. The role involves designing and deploying intelligent agentic systems integrating large language models with enterprise data and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel. Responsibilities include developing Retrieval-Augmented Generation applications, building agents with Microsoft Copilot and Anthropic Claude, iterating conversational agents, collaborating cross-functionally, driving quality through automated testing and monitoring, and mentoring teammates. Candidates should have 8-10+ years of software engineering experience with 1-2+ years in AI-powered systems, proficiency in Python and familiarity with C#, SQL, or TypeScript/React, experience with AI enablement platforms, LLM orchestration frameworks, CI/CD pipelines, data ingestion, vector databases, and strong communication skills. The position is full-time, on-site in Bellevue, WA. Salary range is $124,900 to $228,900 USD. Benefits include comprehensive healthcare, retirement plans, disability coverage, life insurance, tuition reimbursement, parental leave, sick and vacation time, paid holidays, stock purchase plan, and performance-based stock compensation.

What you'll do

  • Design and deploy intelligent agentic systems integrating LLMs with enterprise data, tools, and workflows
  • Develop Retrieval-Augmented Generation (RAG) applications using Azure AI Search, vector databases, and secure connectors
  • Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms
  • Build and iterate conversational agents to solve real-world problems and deliver business value
  • Collaborate across teams to deliver high-impact features aligning technical solutions with business goals
  • Drive quality and performance through automated testing, monitoring, and data-driven evaluation
  • Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning

Requirements

  • Bachelor’s/Master’s degree in computer science or relevant engineering-related field or equivalent experience
  • 8-10+ years of software engineering experience
  • 1-2+ years working on AI-powered systems or products
  • Proficiency in Python and familiarity with C#, SQL, or TypeScript/React
  • Experience with AI enablement platforms like Microsoft Copilot, Anthropic Claude, Copilot Studio
  • Knowledge or hands-on experience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel) and prompt engineering
  • Experience productionizing applications and implementing CI/CD pipelines
  • Skilled in data ingestion and transformation using APIs, ETL pipelines, connectors
  • Familiarity with vector databases and retrieval strategies
  • Strong communication skills across technical and non-technical audiences
  • Ability to learn quickly and solve complex problems creatively

Tech stack

PythonC#SQLTypeScriptReactLangChainLlamaIndexSemantic KernelMicrosoft CopilotCopilot StudioAnthropic ClaudeAzure AI Searchvector databasesCI/CD pipelinesETL pipelinesAPIs

Benefits

Comprehensive healthcare (medical, dental, vision) with premiums paid in full for employees and dependentsRetirement benefits including 401k plan and company matchShort and long-term disability coverageBasic life insuranceWell-being benefitsTuition reimbursement for certain expensesParental leaveSick time (1 hour per 30 hours worked)Vacation time up to 120 hours in first year, 160 hours thereafterAround 13 paid holidays per yearEmployee Stock Purchase Plan with discounted stock purchaseStock-based compensation grants based on company and individual performanceVariable compensation-based incentives and commissions depending on role

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