Lead Software Engineer, AI Engineering

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August 8

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DraftKings Inc.

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Gaming • Sports • B2C

DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.

1001 - 5000 employees

Founded 2012

🎮 Gaming

⚽ Sports

👥 B2C

📋 Description

• 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. • 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.

🎯 Requirements

• 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.