DraftKings

Software Engineer, AI Platform

DraftKings$110K — $130K *
US-AnywhereRemote in Canada
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of professional software engineering experience.
  • Proficiency in Python, TypeScript, or C#.
  • Experience with production-grade services and integrations.
  • Understanding of modern AI systems, including RAG and LLM tools.
  • Knowledge of vector databases and retrieval optimization.
  • Familiarity with APIs and microservices architecture.
  • Strong focus on system performance and observability.
  • Experience with low-code/no-code automation tools like n8n.

Responsibilities

  • Design, build, and maintain backend systems and APIs for AI applications.
  • Develop integrations between internal services and external APIs.
  • Build enterprise knowledge systems for RAG and agent-based applications.
  • Improve reliability and scalability of automation workflows.
  • Implement observability and alerting to enhance system behavior.
  • Contribute to platform tooling using full-code and automation solutions.
  • Deliver well-documented, production-ready code.

Benefits

  • Collaborative work environment within a high-ownership culture.
  • Opportunity to work on cutting-edge AI technology and systems.
  • Support provided for obtaining necessary gaming licenses.
  • Engagement with both engineering and non-engineering teams.
Full Job Description
The Crown Is Yours

As a Software Engineer on the AI Platform team, you'll design and build the backend systems, integrations, and automation that power intelligent, AI-driven experiences across the organization. You'll own services end to end - from rapid iteration to long-term reliability - while helping bring modern AI capabilities like retrieval, agents, and LLM tooling into production. This is a highly collaborative, engineering-first role: you'll work across teams to turn AI capabilities into scalable, well-instrumented systems, and you'll build the enterprise knowledge infrastructure (similarity search, vector databases, retrieval pipelines) that these systems depend on. The ideal candidate combines strong software engineering fundamentals, a solid grasp of modern AI system patterns, and clear technical communication.

What You'll Do
  • Design, build, and maintain backend systems, APIs, and automation workflows that power AI-driven applications on a high-volume platform.
  • Develop custom integrations and connectors between internal services and external APIs.
  • Build and operate enterprise knowledge systems - similarity search, vector databases, and retrieval pipelines - that power RAG and agent-based applications.
  • Improve the reliability, performance, and scalability of automation and workflow systems.
  • Implement observability, logging, alerting, and business metrics to measure system behavior and continuously improve it.
  • Contribute to platform tooling using both full-code solutions and workflow automation platforms such as n8n.
  • Deliver clean, testable, production-ready code, with clear documentation and operational guides.
  • Communicate technical concepts effectively to both engineering and non-engineering audiences.

What You'll Bring
  • 2+ years of professional software engineering experience.
  • Proficiency in one or more of Python, TypeScript, or C#.
  • Experience designing, building, and operating production-grade services, integrations, or automation systems.
  • Solid understanding of modern AI system fundamentals (RAG, agents, LLM tools).
  • Practical knowledge of vector databases, similarity search, and retrieval optimization.
  • Familiarity with APIs, microservices, and event-driven architecture.
  • Strong focus on testing, observability, and performance for backend systems.
  • Familiarity with low-code/no-code automation tools (such as n8n), or a willingness to learn them.
  • Ability to thrive in a high-ownership, fast-paced environment, balancing rapid iteration with long-term maintainability.
  • Ability to work effectively with both engineers and non-engineers.


#LI-AN1

Join Our Team

We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

About DraftKings

DraftKings is an American daily fantasy sports contest and sports betting operator. The company allows users to enter daily and weekly fantasy sports–related contests and win money based on individual player performances in five major American sports, Premier League and UEFA Champions League soccer, NASCAR auto racing, Canadian Football League, the XFL, mixed martial arts and Tennis. In August 2018, DraftKings launched DraftKings Sportsbook in New Jersey becoming the first legal mobile sports betting operator in the state. Since launching in New Jersey, DraftKings has opened mobile sports betting operations in Indiana, Pennsylvania, West Virginia and opened in New Hampshire December 30, 2019 after reaching contract with the New Hampshire Lottery. Retail sports betting is available in Iowa, Mississippi and New York. DraftKings Sportsbook mobile and retail sports betting products allow bettors in each state engage in betting for most major U.S. and international sports. As of April 2016, the majority of U.S. states consider fantasy sports a game of skill and not gambling. In November 2016, FanDuel and DraftKings, the two largest companies in the daily fantasy sports industry, reached an agreement to merge. However the merger was terminated in July 2017 due to it being blocked by the Federal Trade Commission as the combined company would have controlled a 90 percent of the market for daily fantasy sports. As of July 2017, DraftKings had eight million users.
Learn more about DraftKings
Size
3,400 employees
Market Cap
$4.9 billion
Industry
Net Income
-$577.9 million
Revenue
$292.3 million
NASDAQ

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