Lead AI Engineer

Lead AI Engineer (Retail/CX focus)

Imagine shaping the future of online retail, live. Powerfront Inc. (www.powerfront.com) isn't just another SaaS provider; we're the architects of the INSIDE™ Customer Visual Engagement Platform, a game-changer that allows brands to see their online world in real-time. We're talking about live customer behavior tracking and the power to engage at the precise moment of impact. Forget static analytics—we're revolutionizing customer interaction for industry titans like Gucci, Valentino, Staples, Rooms To Go, and Sephora.

We’re a global, fully remote team fueled by passion and a shared obsession with cutting-edge technology. We’re not just building software; we’re forging strategic partnerships that redefine customer engagement. If you're driven to tackle complex challenges, thrive in a dynamic, collaborative environment, and want to leave your mark on the next generation of e-commerce, Powerfront is your launchpad. This isn’t just a job; it’s a career-defining opportunity to be part of a team transforming how the world connects with brands.

About the Role

• AI Model Development & Integration: Design, develop, and integrate AI models, primarily utilizing GPT and other large language models (LLMs), into our core SaaS platform. This includes implementing features such as intelligent chatbots, automated ticket routing, sentiment analysis, personalized recommendations and proactive customer support.
• Tool Calling Implementation: Develop and integrate AI solutions utilizing Tool Calling functionalities within GPT integrations. This will involve connecting our AI models to external tools and APIs to enhance their capabilities and enable more complex interactions.
• Data Management & Analysis: Work with large datasets related to customer interactions, product information, and retail transactions. Leverage your data analysis skills to identify trends, patterns, and insights that inform AI model training and optimization. A strong understanding of retail customer journeys and common customer service issues within the retail industry is crucial.
• Database Expertise: Utilize and manage Vector Databases to store and retrieve embeddings for efficient similarity search and context management for AI models. Experience with Graph Databases and RAG (Retrieval-Augmented Generation) techniques is highly desirable.
• Serverless Architecture: Design and implement AI solutions using serverless technologies, primarily Cloudflare Workers and AWS Lambda. This will involve creating scalable, efficient, and cost-effective AI-powered services.
• Collaboration: Work closely with product managers, UX designers, and other engineers to translate business requirements into technical specifications and deliver high-quality AI features.
• Performance Optimization: Continuously monitor, evaluate, and optimize the performance of AI models and integrations, ensuring accuracy, efficiency, and scalability.
• Stay Current: Keep abreast of the latest advancements in AI, machine learning, and natural language processing, and proactively identify opportunities to incorporate new technologies and techniques into our platform.

Required Skills & Experience:

• Proven AI Experience: Demonstrated experience in developing and deploying AI solutions, with a strong focus on GPT integrations and Tool Calling functionalities.
• Database Proficiency: Strong experience working with Vector Databases. Experience with Graph Databases (and RAG implementation) is highly desirable. Experience with traditional relational SQL Server/Postgres SQL databases.
• Serverless Development: Experience with serverless technologies, specifically Cloudflare Workers.
• Programming Languages: Proficiency in Rest APIs, Typescript, JavaScript, CSS and HTML. Experience with C# .NET Core is a strong plus.
• AI Regulations / Security: Understanding of AI risk assessment, legal regulations, configuring Guardrails and familiarity with common attack methods against AI systems (e.g. adversarial attacks, data poisoning)
• Data Analysis: Strong data analysis skills, with a proven ability to extract insights from large datasets. Experience in the retail sector and understanding of retail customer journeys is essential.
• Problem-Solving: Excellent problem-solving and analytical skills, with the ability to quickly understand and address complex technical challenges.
• Communication: Strong communication and collaboration skills, with the ability to effectively work in a team environment.
• Bachelor's Degree: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. (Master's degree or PhD preferred, but not required if significant practical experience is demonstrated).

Highly Desirable Skills:

• Experience with SPARQL or Gremlin query languages for Graph Databases.
• Experience with any of the major cloud platforms (AWS, Azure, GCP).
• Contributions to open-source AI projects.
• Experience working in an Agile development environment.
• Experience developing business-to-consumer (B2C) SaaS products, particularly in customer service.

Benefits:

• Competitive salary and equity options.
• Opportunity to shape industry-leading customer service solutions through AI innovation
• Collaborative and dynamic work environment focused on continuous learning and development
• Flexible work arrangements (remote work, flexible hours).

To Apply:

• Please submit your resume and a cover letter highlighting your relevant experience, particularly your work with AI: GPT, Tool Calling, Vector Databases, and your understanding of retail customer service. Provide specific examples of projects where you have applied these skills.