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About the project As a Senior Software Python Engineer, you will need relevant experience in LLMs, web scrapers, and a deep understanding of distributed systems. You should possess practical experience with scalable technologies, have a solid grasp of design patterns and microservices architecture, and be proficient in frameworks like LangGraph and LangChain. How your day-to-day work will look like ✅ Leverage AI tools to achieve process automation and enhance existing workflows. ✅ Collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to develop and improve scalable AI systems. ✅ Research, evaluate, and integrate new AI technologies, frameworks, and tools to improve payment systems' efficiency, security, and performance. ✅ Build and deploy AI solutions using a stack that features Python, LLM libraries, and AI third-party services and AWS services. This would make you the ideal candidate ✨ Bachelor's Degree in Computer Science, Engineering, or a related field. ✨ 5+ Years of experience designing and working with Python, working on sync and asynchronous programming, and astAPI. ✨ 3+ Years of experience designing and working with microservices architecture, distributed systems, quality and performance coding. ✨ 2+ Years of experience developing and maintaining web automation solutions, including browser automation (e.g., Selenium, Playwright) and web scraping. ✨ 1+ Years of experience working with LLM Frameworks such as LangChain, LangGraph, or LlamaIndex. ✨ Experience in designing and implementing applications leveraging Large Language Models, including knowledge of prompt engineering patterns and techniques. ✨ Proven experience with distributed systems and relevant technologies, including message queues like Kafka/SQS, web frameworks like FastAPI, and SQL and NoSQL databases. Experience in applying scalability patterns (caching, parallelism, routing, asynchrony, decoupling, etc). ✨ Familiarity with version control (Git) and CI/CD processes. ✨ Proven experience configuring and deploying Docker images. ✨ Proven hands-on experience and familiarity with AWS, including developing and managing applications or services. ✨ Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.