Remote Software engineering Jobs · AI

• Lead the design, development, and deployment of AI/ML models.
• Build and maintain production-grade ML pipelines and model monitoring.
• Mentor and develop junior AI engineers, laying the foundation for AI best practices.

• Experiment with integrations that showcase the power of Graph technologies when paired with LLMs, Agents, MCP servers, and the latest AI technology.
• Share knowledge through blogs, open source prototypes, and presentations at AI events.
• Collaborate with a team of developer advocates, content developers, and community managers to build passion for Graph technology.

• Design, develop, and maintain a robust platform to enable users to create and manage AI agents.
• Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability.
• Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios.

• As a Senior Fullstack Engineer, you will:
• Work on product teams to provide equitable solutions to under-resourced communities.
• Build tools for teachers to use Khan Academy strategically in classrooms.
• Integrate learning science and AI to identify and address student skill gaps.

• Design, build, and productionize ML models for fine-tuned, Retrieval-Augmented Generation (RAG), and generative AI features.
• Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
• Collaborate with product and engineering to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance.

• Build and refine early-stage AI systems and frameworks.
• Translate complex problems into structured engineering approaches.
• Champion technical excellence and mentorship in AI development.

• Lead AI engineering execution across the build organization.
• Partner with the Director of Product - AI.
• Define how millions of people experience automation in the AI era.

• Build the shared AI execution platform that powers every AI product.
• Shape the unified architecture, guide tough tradeoffs, and elevate engineering standards.
• Ensure the platform is scalable, safe, cost-efficient, and easy to build on.

• Lead Reddit’s efforts in building ML systems that keep our platform safe.
• Drive the strategy, development, and deployment of machine learning models that detect and prevent harmful content and behavior at scale.
• Partner cross-functionally across Product, Engineering, Safety operations, Trust & Community, and AI/ML Platform to innovate on real-time detection, automation, and user protection systems.

Join our Service Offering team within Product Strategy and Service Portfolio and build AI-powered solutions. As a Service Offering Automation Internyou will build Now Assist AI Skills, specialized capabilities that understand and act on specific tasks and AI Agents. Your work will help sales teams to spot service opportunities and match them to the right offerings, scope engagements faster and more accurately, and position solutions more effectively to customers.