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.
As a Lead Software Engineer on our AI Platform Team, you’ll play a key role in building the infrastructure and tooling that enables product teams across the company to integrate GenAI into real-world products.
This is a hands-on role where you’ll design, implement, and deliver AI developer infrastructure - from orchestration runtimes to observability tools - that makes AI development faster, safer, and more reliable at scale.
Build and maintain core AI infrastructure and tooling, including runtimes, model gateways, orchestration layers, and SDKs.
Deliver reusable components that simplify AI development workflows — such as agent orchestration (e.g., LangGraph), vector search (e.g., Weaviate or PGVector), prompt management, and model routing (e.g., LiteLLM).
Work closely with product and infrastructure engineers to solve real pain points, ensuring teams can adopt and scale AI effectively.
Operationalize AI in production by implementing monitoring, evaluation, and fallback systems that keep features reliable and performant.
Drive features from prototype through production rollout, focusing on execution and delivery.
Keep up to date with emerging AI platform tools and frameworks, applying them where they improve team velocity and product reliability.
Share best practices with peers and contribute to building a strong engineering culture on the team.
Strong software engineering background, with 4+ years of experience building backend systems, platforms, or internal tools at scale.
Proficiency in .NET, Java, Python, TypeScript or JavaScript.
Experience in developer enablement, infrastructure, or platform engineering — especially with CI/CD, productivity tooling, or automation.
Familiarity with building AI-powered applications in production, such as retrieval-augmented generation (RAG) systems, task-driven agents, or LLM-integrated tools.
Hands-on experience with components of modern AI platforms — such as orchestration frameworks, vector databases, and monitoring/evaluation tools.
Interest in simplifying complex AI workflows and building safe, reliable abstractions.
Strong execution mindset — you focus on shipping reliable solutions and improving developer productivity.
Excellent collaboration and communication skills; you thrive in cross-functional environments.
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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.
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