At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Lead Software Engineer, AI, you'll architect and deliver core infrastructure from LLM runtimes to vector databases that power intelligent development tools at scale. You'll craft systems that transform how engineers write, test, and ship code, leading integrations that reduce friction and boost productivity. Partnering across teams, you'll embed Gen-AI into workflows, mentor teammates, and champion scalable solutions that drive innovation throughout the development lifecycle. What you'll do - Design and build AI-powered tools that enhance how engineers write, test, deploy, and monitor code, making development faster, smarter, and more automated. - Collaborate across teams to uncover pain points in the developer journey and lead the integration of intelligent agents and assistants that boost code quality, reduce friction, and eliminate repetitive tasks. - Drive best practices for embedding Gen-AI into engineering workflows, from code generation to CI/CD, and take ownership of solutions that directly impact how our products are built. - Mentor engineers and advocate for scalable, maintainable AI tooling, fostering a culture of learning and experimentation. - Stay plugged into the latest advancements in LLMs and AI-assisted development, evaluating new technologies and shaping how they're adopted internally. What you'll bring - Expertise in building software that incorporates AI/ML into developer workflows, including code generation, linting, test writing, and CI/CD. - Strong coding skills in at least two languages such as Python, TypeScript/JavaScript, Go, C#. - Experience designing and implementing systems that improve engineering velocity or product delivery. - Clear, confident communication and collaboration skills across technical and non-technical teams. - Open-source contributions or experience with AI/ML libraries, agent frameworks, or LLM integration would be a plus. 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.

• Own the design, build, and operation of Kubernetes cluster management tooling • Build developer-facing tooling and workflows • Deliver net-new compute capabilities for service owners • Drive operational excellence by automating toil • Partner with Security, Reliability, and Observability teams

• You'll own meaningful, high-impact areas of the platform end to end — not just contribute to them. • Specifically, you can expect to: • Own the performance and scalability of our data layer as we onboard larger and more complex organizations — indexing, query optimization, read replicas, partitioning, and connection pooling — so onboarding and day-to-day usage stay fast and reliable even at enterprise scale • Own our asynchronous and background-processing infrastructure (e.g., Celery), keeping it healthy, observable, and able to keep pace with growing data volume • Design, build, and ship net-new, revenue-driving features across the full stack — from messaging and bulk-sending capabilities to richer reporting, analytics, and email experiences • Help reinforce and extend our move to a server-side, HTMX-based frontend, improving both developer velocity and front-end reliability • Design, build, and maintain scalable web applications used by nonprofit organizations around the world • Collaborate closely with cross-functional teams to understand user needs and translate them into technical solutions • Write clean, testable, and efficient code across the frontend and backend • Contribute to architectural discussions and help drive technical decision-making across the platform • Participate in code reviews, and help foster a culture of learning and improvement • Own the reliability, performance, and observability of the systems you work on — instrument them well, set meaningful alerts, and treat production health as a first-class part of the work • Provide thoughtful feedback on technology choices as we evaluate changes across our stack • Support a culture of experimentation, iteration, and continuous delivery.

• You'll sit squarely at the intersection of back‑end and front‑end, ensuring seamless integration between APIs, databases, UIs, and ML services. • You'll design, build, and scale features end‑to‑end, especially our AI/ML‑powered experiences, while mentoring peers and driving architecture decisions. • Architect and implement full‑stack features, from database schema to React components, optimized for scale and reliability. • Build and maintain RESTful/GraphQL APIs, data pipelines, and distributed services in GCP. • Integrate, prompt, and debug LLMs and generative AI tools; own RAG or fine‑tuning pipelines. • Ensure front‑end and back‑end systems interoperate flawlessly, minimize friction, optimize data flow, and enforce contracts. • Collaborate with product, research, design, and infra teams to define requirements, iterate rapidly, and ship production‑grade code. • Monitor performance, reliability, and security. • Mentor junior engineers through code reviews, architecture reviews, and shared best practices.