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Powerfront · 3 weeks ago

Artificial Intelligence Engineer

United States

Full-time

Remote

Senior Level

Powerfront Inc. is a leading provider of customer engagement technology and solutions, dedicated to transforming the online retail experience. The Senior AI Engineer will design, develop, and integrate AI models into the company's SaaS platform, focusing on enhancing customer engagement through innovative AI solutions.

Artificial Intelligence (AI)E-CommerceFashionInternetInternet of ThingsRetail

Responsibilities

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

Qualification

AI Model DevelopmentGPT IntegrationsData ManagementVector DatabasesServerless TechnologiesData AnalysisProgramming LanguagesAI RegulationsBachelor's DegreeProblem-SolvingCommunication

Required

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)