AI Engineer, Conversational AI

Fanatics

253d • $120,000 - $240,000

About The Position

Fanatics Betting and Gaming is seeking an AI Engineer on our cross-functional Applied AI team that is on a mission to 10x FBG with AI. You’ll build and productionize the software foundations that power next-gen recommenders, autonomous AI agents, and scalable AI-driven experiences—working in a fast-paced, startup-style environment where you’ll move from prototype to ship-ready features in days, not months. As an AI Engineer at Fanatics, you will partner with Applied Scientists, Data Engineers, and Product teams to design, implement, and maintain end-to-end systems that deliver autonomous agent capabilities to internal stakeholders and millions of fans. You’ll translate cutting-edge research into rock-solid code, architect microservices for low-latency inference, and champion best practices in reliability, scalability, and observability.

Requirements

• 7+ years of professional software engineering experience, with at least 2 years focused on AI/ML systems such as conversational AI, customer support, copilot and/or chatbot experiences
• Hands-on experience building and deploying models in production
• Proficiency in Python (FastAPI, Flask) and familiarity with strong-typed languages (Java, Go, or C#) for microservice development
• Experience with container orchestration (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure)
• Knowledge of AI agents and frameworks (e.g. LangChain, Ray RLlib, custom orchestrators)
• Solid understanding of distributed systems, API design, and data pipelines
• Comfortable navigating ambiguity in a startup-like environment: you’re resourceful, rapid in iteration, and thrive on end-to-end ownership

Responsibilities

• Engineer Conversational ML for Support Tools
• Design, fine-tune, and productionize dialogue models—integrating RAG pipelines, context-aware routing, and continuous feedback loops—to power internal workflows that supercharge customer-support agents while hitting sub-100 ms latency and enterprise-grade reliability.
• Develop AI Agent Frameworks
• Create, integrate, and extend agent orchestration pipelines—building tools to deploy, monitor, and iterate on multi-agent workflows.
• Collaborate in a Startup-Like Pod
• Work hands-on across the stack: from data ingestion and feature engineering to model deployment and UX integration—rapidly prototyping and shipping proof-of-concepts alongside engineers and product managers.
• Optimize for Scale & Reliability
• Implement CI/CD for model updates, containerize inference workloads (Docker/Kubernetes), and instrument services with logging, tracing, and alerts to meet 99.9% uptime SLAs.
• Champion Engineering Best Practices
• Write clear, maintainable code; conduct code reviews; mentor junior teammates; and evangelize automated testing, code linting, and performance monitoring.

Benefits

• Medical
• Dental
• Vision
• 401K
• Paid time off
• GymPass
• Pet Insurance
• Family Care Benefits
• $700 to set up your home office

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 251-500 employees