Software Engineer (Python, AI/ML) ID47296

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE As a Senior Python Engineer, you will shape and scale intelligent backend solutions that power data-driven products used in real-world decision making. This role sits at the intersection of software engineering and AI/ML, with strong influence over system architecture, cloud-native design, and service integration. You&ll collaborate with diverse stakeholders, champion clean code and CI/CD practices, and see your work move from design to production. It&s an opportunity to grow technically while owning meaningful, high-impact outcomes. WHAT YOU WILL DO - Design, develop, and maintain robust, scalable python applications; - Write clean, reusable, and efficient code following coding standards; - Lead the architecture and framework selection for projects; - Ensure proper integration of front-end components and back-end services; - Conduct code reviews and provide constructive feedback; - Optimize applications for maximum speed, scalability, and reliability; - Troubleshoot and resolve complex technical issues; - Implement unit tests, integration tests, and support continuous integration; - Project duration 6 months. MUST HAVES - 47 years of relevant experience in data engineering, backend development, or AI/ML; - Strong Python development skills, including experience with data processing libraries; - Proficiency in SQL; - Proficiency in Microservices & REST Apis; - Proficiency in Data modeling; - Solid understanding of clean code; - Exposure to test automation frameworks (pytest); - Solid understanding of software engineering practices like Git-based development, code review, and CI/CD pipelines; - Ability to work independently on assigned tasks and take ownership from design to production deployment; - Strong problem-solving and debugging skills, especially for complex data and integration issues; - Comfortable engaging with non-technical stakeholders; - Strong written and verbal communication in English. NICE TO HAVES - LLM orchestration frameworks; - Classical ML; - AZURE/GCP; - Bachelors or masters degree in computer science, Engineering, Data Science, Mathematics, or a related quantitative field; - Demonstrated experience delivering production-grade, client-facing data and analytics products on cloud infrastructure. PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options.
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Senior
4–7 years of relevant experience in data engineering, backend development, or AI/ML; Strong Python development skills, including experience with data processing libraries; Proficiency in SQL; Proficiency in Microservices & REST Apis; Proficiency in Data modeling; Solid understanding of clean code; Exposure to test automation frameworks (pytest); Solid understanding of software engineering practices like Git-based development, code review, and CI/CD pipelines; Ability to work independently on assigned tasks and take ownership from design to production deployment; Strong problem-solving and debugging skills, especially for complex data and integration issues; Comfortable engaging with non-technical stakeholders; Strong written and verbal communication in English.