Software Engineer I - AI Platform
StubHub is on a mission to redefine the live event experience on a global scale. They are seeking a Software Engineer I – AI Platform to help shape how StubHub adopts and scales AI across the company by designing tools, frameworks, and patterns that make AI accessible to everyone.
Responsibilities
- Design and implement internal AI platforms and tools that make it easy for teams to build with generative and agentic AI
- Develop reusable components for prompt orchestration, model evaluation, and workflow automation
- Partner with engineers, data scientists, and product teams to embed AI into StubHub’s core products and internal processes
- Define patterns and frameworks for safe, scalable, and effective AI usage
- Lead by example in applying AI to real business challenges from customer support to pricing insights to developer productivity
- Navigate ambiguity with curiosity and creativity by shaping direction even when problems aren’t fully defined
- Engage deeply with business teams to understand their requirements, challenges, and workflows: translating those insights into innovative, AI-driven solutions
- Create playbooks, workshops, and documentation to help teams become confident AI practitioners
- Establish principles for prompt engineering, data quality, and human-in-the-loop feedback
- Foster a culture of responsible experimentation and continuous improvement
- Build and optimize AI agents that enhance workflows, automate tasks, and provide insights
- Prototype and refine LLM-powered solutions using modern frameworks and APIs
- Track performance, measure impact, and evolve solutions over time based on real-world usage
Skills
- 1-2 years of hands-on experience in software engineering, AI development, or technical solution delivery in internships
- Delivered real impact through AI, automation, or data-driven solutions — whether as an engineer, analyst, or product builder
- Collaborated across teams to identify use cases, define success, and deploy working systems that improved outcomes
- Adapted and learned fast, experimenting with new AI tools and frameworks to find practical, scalable solutions
- Balanced hands-on building with strategic thinking — understanding when to ship, when to experiment, and when to scale
- Experience integrating or deploying AI systems (e.g., chatbots, assistants, RAG pipelines, or workflow agents)
- Comfortable working with modern software environments (cloud platforms, APIs, version control, CI/CD)
- Excellent communication and storytelling skills — able to translate technical work into clear business value
- Experience enabling organizational AI adoption or building internal AI platforms or tools
- Familiarity with LLM frameworks (LangChain, OpenAI, Anthropic, HuggingFace, etc.)
- Understanding of data privacy, compliance, and ethical AI practices (GDPR, CCPA)
- Background in change management, developer enablement, or digital transformation
- Degree in Computer Science, Data Science, or a related technical field (or equivalent hands-on experience)
Benefits
- 401k
- Premium Health, Vision, and Dental Insurance options
- Unlimited Flex Time Off
- Paid parental leave
Company Overview
Company H1B Sponsorship
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