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Job Description

Powerfront is seeking a Senior AI Engineer to build and integrate AI models for its INSIDE™ AI Customer Visual Engagement Platform.

Responsibilities

  • Design, develop, and integrate AI models, primarily using GPT and other large language models (LLMs), into the core SaaS platform.
  • Implement AI features such as:
    • Intelligent chatbots
    • Automated ticket routing
    • Sentiment analysis
    • Personalized recommendations
    • Proactive customer support
  • Develop and integrate AI solutions using Tool Calling within GPT integrations to connect AI models to external tools and APIs.
  • Work with large datasets covering customer interactions, product information, and retail transactions; use data analysis to identify trends and patterns that inform model training and optimization.
  • Utilize and manage Vector Databases to store and retrieve embeddings for similarity search and AI context management.
  • Apply Graph Database approaches and RAG (Retrieval-Augmented Generation) techniques (highly desirable) to improve retrieval and responses.
  • Design and implement AI services with serverless technologies, primarily Cloudflare Workers and AWS Lambda, focusing on scalability, efficiency, and cost effectiveness.
  • Collaborate with product managers, UX designers, and other engineers to translate business requirements into technical specifications and deliver AI features.
  • Continuously monitor, evaluate, and optimize AI model and integration performance for accuracy, efficiency, and scalability.
  • Stay current on advances in AI, machine learning, and natural language processing, and identify opportunities to adopt new technologies and techniques.

Requirements

  • Demonstrated experience developing and deploying AI solutions, with strong focus on GPT integrations and Tool Calling.
  • Strong experience with Vector Databases.
  • Experience with Graph Databases and RAG implementation is highly desirable.
  • Experience with traditional relational databases, specifically SQL Server or Postgres SQL.
  • Serverless experience, specifically Cloudflare Workers.
  • Proficiency with REST APIs, TypeScript, JavaScript, CSS, and HTML; C# .NET Core is a strong plus.
  • Knowledge of AI risk assessment, legal regulations, configuring Guardrails, and familiarity with common AI attack methods such as adversarial attacks and data poisoning.
  • Strong data analysis skills with experience extracting insights from large datasets.
  • Retail sector experience and understanding of retail customer journeys is essential.
  • Excellent problem-solving and analytical skills for complex technical challenges.
  • Strong communication and collaboration skills in a team environment.
  • Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Master’s degree or PhD preferred, but not required with significant practical experience).

Technologies

  • GPT, large language models (LLMs)
  • Tool Calling
  • Vector Databases, Graph Databases
  • RAG (Retrieval-Augmented Generation)
  • Cloudflare Workers, AWS Lambda
  • REST APIs
  • TypeScript, JavaScript, CSS, HTML
  • C# .NET Core
  • AI risk assessment, Guardrails, adversarial attacks, data poisoning
  • SQL Server, Postgres SQL
  • SPARQL, Gremlin
  • AWS, Azure, GCP

Benefits

  • Dynamic & forward-thinking organization revolutionizing retail technology
  • Virtual workforce with remote work that is still highly interactive and collaborative
  • Competitive salary and benefits
  • Culture with high client and staff retention
  • Opportunity to partner with prestigious brands worldwide
  • Career progression and longevity

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