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 as a Lead Software Engineer, AI

• 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.

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