Generative Ai Engineer

Summary

Join FabFitFun as a Generative AI Engineer and lead the development of innovative AI solutions within our dynamic ecosystem. Reporting to the Senior Manager, Engineering, you will leverage your expertise to design and implement customer-facing chat experiences, optimize backend systems, and ensure the quality and performance of our AI-powered chatbots. This hybrid or remote position requires 5+ years of software engineering experience with a focus on backend development and 1+ year of experience with foundational LLM models. You will collaborate with cross-functional teams, establish best practices, and contribute to the continuous improvement of our AI capabilities. The role offers a competitive salary, bonus, equity, and a comprehensive benefits package.

Requirements

• 1 year of experience working with foundational LLM models, including deploying, fine-tuning, and 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, and operated domain-driven backend systems at scale
• Worked in agile environments, including kanban and hybrid systems
• Simplified complex technical concepts for non-technical stakeholders and curious teammates
• Automated systems for long-term, stable production operation with minimal human intervention
• Driven continuous delivery, ensuring small and frequent deployments
• Tuned observability across the stack to enhance monitoring and reliability
• Worked on prompt engineering, experimenting with different approaches to enhance AI output

Responsibilities

• Lead the development of generative AI solutions from the ground up, including strategic planning and technical execution
• Act as a thought leader to align the chatbot's capabilities with company goals and provide recommendations for best practices
• Design and implement customer-facing chat experiences integrated into our platforms, including features such as: Personalized product descriptions
• Design and implement customer-facing chat experiences integrated into our platforms, including features such as: Customer-facing chatbots to improve user engagement, including features that enable users to manage their account, billing, purchasing, and order status
• Design and implement customer-facing chat experiences integrated into our platforms, including features such as: Agents for managing complex internal workflows
• Develop, optimize, and maintain backend and application code in Python and Java to support chatbot functionalities
• Craft and fine-tune effective prompts for generative AI use cases, iteratively improving quality by conducting experiments
• Deploy and manage chatbot components in production, ensuring their stability, scalability, and performance
• Develop or procure a comprehensive solution to validate and monitor the quality of chat interactions, ensuring the chatbot meets performance, reliability, and user experience standards
• Collaborate with cross-functional teams to define requirements and align project goals
• Participate in weekly sprints to ensure timely planning, execution, and review of tasks
• Establish standards and best practices through comprehensive documentation and training

Preferred Qualifications

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

Benefits

• Uncapped / Generous PTO
• Medical, Dental & Vision with competitive coverage options and plans
• 401K & 401K Match
• Pet insurance for any FFF furry friends via Nationwide - covers 90% expenses
• Complimentary annual FFF subscription with seasonal $25 credit for e-commerce flash sales
• Donation matching program via BrightFunds, where the company matches up to $500 charitable donations per employee