Software Engineer, AI Platform
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.
remoteroles summary, based on the employer's posting.
What you'll do
- Build and maintain backend services, APIs and automated workflows for AI applications running at high volume
- Connect internal systems with external APIs through custom integrations
- Create and operate vector search and retrieval systems for RAG and agent applications
- Strengthen workflow reliability and performance, adding logs, alerts and metrics to track system behavior
- Ship tested, documented production code and explain technical decisions to engineering and non-engineering teams
What you bring
- At least two years of professional software engineering experience
- Proficiency in Python, TypeScript, C# or another listed language
- Hands-on experience operating production services, integrations or automation systems
- Working knowledge of RAG, agents, LLM tools, vector search and retrieval optimization
Who this fits
This mid-level role suits a software engineer comfortable owning backend systems from early iteration through ongoing operation. You should be able to work with both technical and nontechnical colleagues, balancing quick changes with maintainability. The role is remote in Canada; a gaming license may be required depending on the role.
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.