Design, build, and operate backend systems, integrations, and automation powering AI-driven applications. Implement enterprise knowledge infrastructure (vector DBs, similarity search, retrieval pipelines), observability, and scalable APIs. Deliver production-ready code, connectors, and platform tooling while collaborating across teams to bring RAG, agents, and LLM capabilities into production.
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 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
What You'll Bring
#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.
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.
Similar Jobs at DraftKings
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead end-to-end personalization ML initiatives: build scalable ML pipelines, design CI/CD for models, monitor production performance, implement retraining and drift detection, partner with cross-functional teams, and mentor engineers.
Top Skills:
A/B TestingCi/CdDatabricksGitopsJenkinsMlflowPythonSparkSQL
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Design, build, and scale real-time and batch data infrastructure and pipelines (Kafka, Databricks, Snowflake) to power analytics, reporting, and AI-powered data experiences. Drive data modeling, governance, observability, and best practices while partnering with cross-functional teams and mentoring engineers.
Top Skills:
AWSClaude CodeCodexDatabricksDatadogDynamoDBKafkaMongoDBPagerdutyPythonSigmaSnowflakeSQLTerraform
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead end-to-end personalization data science initiatives: design and deploy machine learning and statistical models into production, optimize recommendations and content layouts, partner with engineering/product/analytics, monitor performance, and mentor junior scientists.
Top Skills:
Data VisualizationMachine LearningPersonalization AlgorithmsProduction Model DeploymentPythonStatistical Modeling
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
