FabFitFun is seeking a Generative AI Engineer to join our Engineering team! Reporting to our Senior Manager, Engineering, this person will have the exciting opportunity to help leverage AI technology within our FFF ecosystem. 

Location: FabFitFun is based in Beverly Hills, CA. This position is eligible to work hybrid from our HQ (preferred) or is eligible for remote. 

What Youll Do:

Project Leadership

• Lead the development of generative AI solutions from the ground up, including strategic planning & technical execution.
• Act as a thought leader to align the chatbot's capabilities with company goals & provide recommendations for best practices.

Technical Development

• Design & implement customer-facing chat experiences integrated into our platforms, including features such as:
•  Personalized product descriptions.
• Customer-facing chatbots to improve user engagement, including features that enable users to manage their account, billing, purchasing, & order status.
• Agents for managing complex internal workflows.
• Develop, optimize, & maintain backend & application code in Python & Java to support chatbot functionalities.
• Craft & fine-tune effective prompts for generative AI use cases, iteratively improving quality by conducting experiments.
• Deploy & manage chatbot components in production, ensuring their stability, scalability, & performance.

Quality Assurance

• Develop or procure a comprehensive solution to validate & monitor the quality of chat interactions, ensuring the chatbot meets performance, reliability, & user experience standards.

Collaboration & Process

• Collaborate with cross-functional teams to define requirements & align project goals.
• Participate in weekly sprints to ensure timely planning, execution, & review of tasks.
• Establish standards & best practices through comprehensive documentation & training.

What Youll Bring:

• 1 year of experience working with foundational LLM models, including deploying, fine-tuning, & integrating these models into production environments.
• 5+ years of experience as a software engineer with a strong focus on backend development.
• Proficiency in Python or Java.
• Understanding of data science concepts to support performance evaluation.
• Designed, built, & operated domain-driven backend systems at scale.
• Worked in agile environments, including kanban & hybrid systems.
• Simplified complex technical concepts for non-technical stakeholders & curious teammates.
• Automated systems for long-term, stable production operation with minimal human intervention.
• Driven continuous delivery, ensuring small & frequent deployments.
• Tuned observability across the stack to enhance monitoring & reliability.
• Worked on prompt engineering, experimenting with different approaches to enhance AI output.

Preferred AI Experience

• Deployed & integrated AI models, specifically LLM foundational models, into real-world applications.
• Worked with LLM agent architectures like AutoGen, MetaGPT, CrewAI, LangGraph, Semantic Kernel, AutoGPT, & Swarm.
• Developed or worked with traditional chatbot frameworks such as Dialog Flow, Rasa, Microsoft Bot Framework, & Wit.ai.
• Fine-tuned large language models to improve application-specific performance.
• Implemented AI safety practices & guardrails to ensure ethical & responsible AI usage.

The expected base salary range for this position is $150K to $190K + bonus. The compensation package will also include an initial equity grant, in addition to a range of generous medical, dental, vision & other perks & benefits. The compensation package will also include an initial equity grant, in addition to a range of generous medical, dental, vision & other perks & benefits. Compensation decisions are determined using a variety of job-related factors such as skill set, geographic location, market demands, experience, & education / certifications. If we extend an offer for employment, we will consider all individual qualifications.