Senior Python Engineer – AI/ML

We are seeking a Senior Python Engineer with strong backend development experience and practical expertise in Artificial Intelligence, Machine Learning, and Large Language Models. This is a full-time, long-term remote position for an engineer who can build reliable AI-powered applications and take solutions from implementation through production deployment. Responsibilities Develop scalable backend services primarily using Python. Work with AI, ML, and LLM technologies. Design and integrate AI solutions into real-world applications. Collaborate with engineering teams on architecture and technical decisions. Build, deploy, and maintain production-ready software. Write clean, maintainable, and well-tested code. Participate in code reviews and CI/CD workflows. Deploy and monitor applications running in Kubernetes environments. Contribute to specification-driven development and technical documentation. Requirements 7+ years of professional software development experience, primarily in backend engineering. Strong production-level Python experience. Practical experience with AI, Machine Learning, LLMs, or traditional ML models. Experience integrating AI models into production applications. Experience with Docker and Kubernetes. Experience with Snowflake. Familiarity with Java and/or Go. Understanding of microservices, APIs, and distributed architectures. Experience with automated testing, CI/CD, and code reviews. Ability to independently develop, deploy, and maintain reliable software. Intermediate to advanced English communication skills. Availability to work Monday through Friday, from 9:00 AM to 6:00 PM CST. Contract Details Fully remote, full-time position. Working hours: 9:00 AM–6:00 PM CST, Monday through Friday. Compensation: $600 USD per month. Long-term engagement. Potential for continued professional growth based on performance. How to Apply Please include: A brief summary of your Python backend experience. Your experience with AI, ML, or LLM-based applications. Examples of relevant production projects. Your experience with Docker, Kubernetes, and Snowflake. Confirmation that you can work the required schedule. Your earliest available start date.