Software Engineer, AI Platform
DraftKings (Employee Referral Portal) Open · verified Oct 22, 2026 At a glance
Mid-level ML Platform & Ops role at DraftKings (Employee Referral Portal). Remote, Canada · full-time · no salary stated · we estimate CA$122,100–CA$139,500 across Canada.
DraftKings (Employee Referral Portal) has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build backend services, APIs and automation workflows for AI applications running on a high-volume platform
- Connect internal services with external APIs through custom integrations and connectors
- Create similarity search, vector database and retrieval systems for RAG and agent applications
- Strengthen automation systems by improving their reliability, speed and ability to scale
- Add logging, alerts and business measures so teams can track system behavior and improve it
What you bring
- At least two years of professional software engineering experience
- You’re proficient in Python, TypeScript or C#
- You’ve built and operated production services, integrations or automation systems
- You understand RAG, agents and LLM tools, plus vector search and retrieval optimization
Who this fits
This mid-level role suits a software engineer who can own backend systems from early iteration through ongoing operation, and explain technical ideas to both engineering and non-engineering colleagues. The role is remote in Canada. A gaming license may be required as a condition of employment.
From the employer
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
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.
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.