Chemical Industry AI Solutions Architect
2 days ago
Knowde Inc. is a global software company digitally transforming the chemical industry by solving its main problem: organizing and digitizing product data.
We provide touchless product master data and a suite of integrated tools to accelerate digital transformation, helping chemical suppliers and distributors unleash the hidden power of their product information and get it into the hands of those who drive value — sales, regulatory, supply chain, and customers.
We've partnered with leading investors, including Sequoia Capital and Coatue, to realize our vision of a fully digitized chemical industry.
Our Mission
We're building a two-sided marketplace for the chemical industry, responsible for 1/4th of global GDP. To support this mission, we've embarked on a project to allow customers to easily find chemical compounds, formulations, and documents they may be interested in. This is tailored to our industry and has been well-received by our customers.
This project presents significant engineering challenges: efficiently ingesting data from several sources and maintaining overall search performance and accuracy. We have a dedicated team that maintains a complex chemical taxonomy used throughout the project. We're investing in automating as much of this process as possible to process a larger amount of data than we currently do.
About the Role
We're seeking an experienced Python Engineer to join our dynamic team. The ideal candidate will play a crucial role in connecting our systems and applications, developing our system architecture, contributing to the development of our AI chatbot platform, and multiple other AI-related solutions.
This role offers an exciting opportunity to work in a fast-paced environment with some of the brightest minds in the industry.
Responsibilities
Lead the development and optimization of our AI RAG agents. Ensure seamless integration with OpenAI Chat API through langchain, Qdrant vector store, and Elasticsearch cluster.
Design, implement, and maintain robust data processing pipelines that support the chatbot's functionality and performance.
Work closely with internal teams to integrate various internal APIs into the chatbot, enhancing its capabilities and user experience.
Contribute to the overall system architecture, ensuring scalability, reliability, and performance of the AI chatbot platform.
Write clean, efficient, and well-documented code. Implement best practices for testing, code reviews, and version control.
Continuously evaluate and improve the chatbot's performance, staying up-to-date with the latest advancements in AI, machine learning, and natural language processing.
Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning.
Requirements
SQL, Python, Django, Test-driven development, API, TensorFlow, LLM, NLP, PyTorch, pandas, AWS, Qdrant
Tools: Jira, Confluence, Wiki, GitHub, GIT
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