Position: Data Engineering Architect / CTO for AI Product
Company: PEXLY
Category: Data Science
Experience required: 3y
English level: intermediate

Our Project is a state-of-the-artvirtual assistant aimed to revolutionize the way businesses communicate with their customers. 
   Utilizing the latest developments of conversational AI, its training on specific company data, and the power of solid open-source solutions, it will enable seamless user experience, perfect flexibility and lower customer support cost for companies around the world. 
   We are looking for a key team player with deep technical expertise in Data Engineering and Software Architecture who will bring our product to life and potentially lead its further development. 
   We expect you to review our product vision, and business requirements, validate the suggested tech stack, develop the full architecture of the solution, and execute the implementation of the MVP. 

Responsibilities:
   - Analyzing business requirements, building architecture and choosing a technology stack to deliver the first viable version of the product.
   - Accurate estimation of development effort and resources required for an MVP, risk management.
   - Setting up and leading a small (2-3 bright engineers including you) but strong software engineering team who will bring our MVP live and further refine its functionality and user experience.
   - Collaborate with the Founders and Commercial team to ensure fast feedback loops from the market and adjust the product functionality and performance accordingly.
   - Staying up-to-date with the latest developments of Generative AI and its application in the product accordingly.

Requirements (obligatory):
   - 3 years of extensive overall experience in Data Science / AI Engineering.
   - 2 years of experience as a Software Architect.
   - Proficiency in Python.
   - Experience with Microservice architecture.
   - Prior experience in Data Engineering and Machine Learning.
   - Deep understanding and experience in training AI models.
   - Hands-on experience with Vector Databases.
   - Familiarity with ChatGPT and other Generative AI LLMs.
   - Proactivity, curiosity and excellent communication skills.

Nice To Have:
   - Experience in Chatbot development.
   - Familiarity with specialized open source solutions like Rasa Stack.
   - Experience training Large Language Models.
   - Experience in Business Analysis, as well as running/leading product discovery projects.
   - Understanding of customer support standards, ITIL certifications.