Fanatics
AI Engineer, Conversational AI
Fanatics - Washington, District Of Columbia, United States, 20001
Work at Fanatics
Overview
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Overview
AI Engineer, Conversational AI
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 experiencesworking 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. Responsibilities Engineer Conversational ML for Support Tools
Design, fine-tune, and productionize dialogue modelsintegrating RAG pipelines, context-aware routing, and continuous feedback loopsto 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 pipelinesbuilding 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 integrationrapidly 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. Skills & Qualifications 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 Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! The expected salary range for this role is based on job-related knowledge, skills, and experience. This role is eligible for the Fanatics Betting and Gaming annual bonus program and an equity award. Salary range: $120,000 - $240,000 per year (actual salary will be determined in part by a successful candidate's geographic location). In addition to base salary, bonus, and equity, full-time employees are eligible for Medical, Dental, Vision, 401K, paid time off, and other benefits like GymPass, Pet Insurance, Family Care Benefits, and more. We'll also give you $700 to set up your home office!
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 experiencesworking 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. Responsibilities Engineer Conversational ML for Support Tools
Design, fine-tune, and productionize dialogue modelsintegrating RAG pipelines, context-aware routing, and continuous feedback loopsto 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 pipelinesbuilding 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 integrationrapidly 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. Skills & Qualifications 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 Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! The expected salary range for this role is based on job-related knowledge, skills, and experience. This role is eligible for the Fanatics Betting and Gaming annual bonus program and an equity award. Salary range: $120,000 - $240,000 per year (actual salary will be determined in part by a successful candidate's geographic location). In addition to base salary, bonus, and equity, full-time employees are eligible for Medical, Dental, Vision, 401K, paid time off, and other benefits like GymPass, Pet Insurance, Family Care Benefits, and more. We'll also give you $700 to set up your home office!