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Knowde

Back-End Software Engineer - Python / AI / ML

Sorry, this job was removed at 10:08 p.m. (EST) on Thursday, Nov 13, 2025
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In-Office or Remote
2 Locations
Easy Apply
In-Office or Remote
2 Locations

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The chemical industry is a $5 trillion giant that's never been digitized. No playbook. No reference customers. No one's done this before.

Knowde solves the root problem holding the industry back: organizing and digitizing product data. Our AI-powered platform turns decades of unstructured information into clean master data in weeks, powering everything from sales to supply chain to customer experience for 8,000+ of the world's largest suppliers and distributors.

We've raised over $200M from Sequoia Capital, Coatue, and other leading investors to digitally transform one of the world's largest industries. There's no template for this work. But if that's what makes it interesting to you, keep reading.

Back-End Software Engineer - Python

Poland, Rzeszów, Łódź, Białystok (or remote from Poland)

​​About Knowde

Knowde is a global software company digitally transforming the $5 trillion chemical industry by solving the root problem holding the industry back: organizing and digitizing product data. Knowde provides touchless product master data and a suite of purpose-built, integrated tools to accelerate digital transformation, helping Chemical Industry suppliers and distributors unleash the hidden power of their product information and get it into the hands of the people who drive value — sales, regulatory, supply chain and, of course, their customers. More than 8,000 of the world's largest suppliers and distributors use Knowde to accelerate their digital transformation and drive business growth.

We’ve raised over $100M from the world’s leading investors, including Sequoia Capital and Coatue, to realize our vision.

Come Join Us!

We have an exciting opportunity for an experienced Python Engineer focused on AI and Machine Learning, to join our team. 

We’re building out a two-sided marketplace for the chemical industry, which is responsible for 1/4th of global GDP. To support our mission, we’ve embarked on a project to allow our customers to easily find chemical compounds, formulations, and documents they may be interested in. This is specifically tailored to our industry, and our customers love it. 

This project has serious engineering challenges: efficiently ingesting data from several sources and keeping overall search performance and accuracy in check. We have a dedicated team whose sole purpose is to maintain a complex chemical taxonomy used everywhere in the project. We’re investing in automating as much of this process as possible to process a magnitude more data than we currently do.

About the role

We’re looking for an experienced Python Engineer to join our dynamic team. The ideal candidate will be critical in connecting our systems and applications, building up the system architecture, contribute to the development of our AI chatbot platform and multiple other AI related solutions.
This role presents an exciting opportunity to work in a fast-paced environment with some of the brightest minds in the industry.

What You'll Be Doing

  • As a small, remote team, you’ll be empowered to work directly with leadership and the product team to make decisions about your code and the future of the product.
  • Lead the development and optimization of our AI RAG agents. Ensuring 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.

What You Should Have

  • 5 years of commercial experience in Python ecosystem
  • 2 years of commercial experience in machine learning, data science, natural language processing, or related fields.
  • Strong proficiency in Python and experience with AI libraries such as Langchain, TensorFlow, PyTorch, Scikit-learn, or Keras
  • Proficiency in data science tools and libraries such as Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization.
  • Strong analytical and problem-solving skills focused on optimizing AI and machine learning models.
  • Hands-on experience with vector stores, preferably Qdrant.
  • Experience with API development and integration.
  • Familiarity with data processing pipelines and associated tools.
  • Proven ability to deliver high-quality software solutions on time and within scope. Demonstrable experience in leading or contributing significantly to AI or chatbot projects.
  • Ability to work effectively in a collaborative team environment and contribute to the growth and success of the team.
  • Proficiency in Elasticsearch or other FTS engines would be a plus
  • Fluent in speaking and writing English

Our Perks & Benefits

  • Location: Rzeszów or Białystok office (Poland), or remotely from Poland 
  • Flexible working hours
  • Opportunity to work on innovative projects with a strong team of engineers
  • Plenty of room to learn and grow your own career as the team scales out

We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that Knowde upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status.

Learn More About Knowde

  • Visit our marketplace: knowde.com/marketplace
  • Read about our mission: knowde.com/about

Our Culture

We have a mission that matters. We move fast, take ownership, and don't make excuses. If you carry a chip and want to prove something, you'll fit right in. If you're looking for comfort and predictability, you won't.

We're building a team as diverse as the industry we're transforming. Different perspectives make us better.

We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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