9 дней назад
Senior AI Engineer (Global – Remote)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (GPT/LLM and Serverless): Designing and integrating AI models, tool-calling workflows, and intelligent customer engagement features into a SaaS platform with an accent on vector databases, RAG, data analysis, and retail customer journeys. Focus on building scalable serverless AI services with Cloudflare Workers and AWS Lambda, optimizing model performance, and addressing AI security and regulatory risks.
Location: Global, fully remote
Company
develops the INSIDE AI Customer Visual Engagement Platform, a SaaS solution for real-time customer behavior tracking and intelligent engagement used by luxury, retail, and other major brands.
What you will do
- Design, develop, and integrate GPT and other large language models into the core SaaS platform.
- Build intelligent chatbots, automated ticket routing, sentiment analysis, personalized recommendations, and proactive customer support features.
- Implement tool-calling integrations that connect AI models with external tools and APIs.
- Manage customer, product, and retail transaction data to identify insights for model training and optimization.
- Design scalable serverless AI services using Cloudflare Workers and AWS Lambda.
- Collaborate with product managers, UX designers, and engineers while monitoring and optimizing AI performance.
Requirements
- Demonstrated experience developing and deploying AI solutions, especially GPT integrations and tool-calling functionality.
- Strong experience with vector databases, plus relational SQL Server or PostgreSQL databases; graph databases and RAG experience are desirable.
- Experience with Cloudflare Workers and proficiency in REST APIs, TypeScript, JavaScript, CSS, and HTML.
- Understanding of AI risk assessment, legal regulations, guardrails, and attacks such as adversarial attacks and data poisoning.
- Strong data analysis, problem-solving, communication, and collaboration skills, with essential experience in retail customer journeys.
- Bachelor’s degree in Computer Science, AI, ML, or a related field, or significant practical experience.
Nice to have
- Experience with graph databases, SPARQL, Gremlin, RAG, C# .NET Core, or major cloud platforms.
- Contributions to open-source AI projects and experience in Agile development.
- Experience developing B2C SaaS products, particularly customer service products.
- Master’s degree or PhD in a related field.
Culture & Benefits
- Fully remote, virtual workforce with an interactive and collaborative environment.
- Competitive salary and benefits.
- Career progression and long-term career opportunities.
- Work with technology serving prestigious global retail and luxury brands.
- Forward-thinking organization focused on AI-driven customer engagement.
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