Build and maintain scalable Python back-end services and RESTful APIs, implement chatbot and RAG/LLM features, optimize performance, collaborate with ML engineers, write tests and documentation, and leverage AWS, Docker, and Kubernetes to deliver production AI-driven products.
Join us at Provectus as part of a team dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.
We are looking for a highly skilled Senior Python Developer with experience in generative AI to join our team. We build AI-driven products, where you’ll develop and ship Python services and LLM features (including RAG, tools, and agents) on a daily basis — while leveraging AI across your entire workflow, from development to delivery. If you have a passion for AI and experience in building innovative solutions, we would love to hear from you.
Let's work together to build a better future for everyone!
Responsibilities:
- Develop and maintain scalable Python applications.
- Build and optimize RESTful APIs and servers using frameworks such as FastAPI, Django REST, or Flask.
- Design and implement chatbot applications using generative AI technologies.
- Implement and optimize Retrieval Augmented Generation (RAG) systems.
- Profile and optimize Python code to enhance performance.
- Collaborate with cross-functional teams, including ML engineers and product managers, to deliver high-quality products.
- Write clean, maintainable, and well-documented code.
- Stay updated with the latest developments in Python and AI technologies and propose innovative solutions.
Requirements:
- Strong proficiency in Python programming.
- Solid understanding of object-oriented programming (OOP) and software design patterns.
- Experience in building RESTful APIs and servers with frameworks like FastAPI, Django REST, or Flask.
- Experience in building chatbot applications.
- Experience with Docker for containerization and Kubernetes for orchestration.
- Understanding of microservices architecture and related patterns.
- Solid software engineering skills, with the ability to produce well-structured, maintainable code.
- Experience with AWS and serverless computing.
- Proficiency in both SQL and NoSQL databases, such as Postgres and DynamoDB.
- Experience with unit testing and test-driven development.
- Strong knowledge of testing frameworks like PyTest, UnitTest, or others.
- English level — strong Intermediate or higher.
- Excellent communication and problem-solving skills.
- Experience with frameworks like Streamlit and/or Gradio.
- Knowledge of generative AI and experience with Retrieval Augmented Generation (RAG) architectures.
- Experience with CI/CD pipelines and automation.
- Some hands-on production experience beyond the Python ecosystem — Node.js, Java, Scala, Go, Ruby, or Rust.
Nice to Have:
We offer:
- Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications.
- Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work.
- Long-term B2B collaboration.
- 100% remote — with flexible hours.
- Collaboration with an international, cross-functional team.
- Comprehensive private medical insurance or budget for your medical needs.
- Paid sick leave, vacation, and public holidays.
- Equipment and all the tech you need for comfortable, productive work.
- Special gifts for weddings, childbirth, and other personal milestones.
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