Senior Python Engineer (Remote, Full-Time) [AS199]

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<p><strong>About Smart Working</strong></p><p><br></p><p>At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.</p><p><br></p><p>Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.</p><p>Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.</p><p><br></p><p><strong>About the role</strong></p><p><br></p><p>As a <strong>Senior Python Developer</strong>, you will design, develop, and deploy intelligent, AI-powered systems that support scalable, production-ready services across the platform. This role focuses on building robust service logic, exposing AI models through secure APIs, and ensuring reliable delivery of AI-driven features.</p><p><br></p><p>You will work closely with data scientists, engineers, and product teams in an agile environment, contributing across the full lifecycle of AI services—from development and deployment to monitoring and continuous improvement.</p><p><p><br></p><strong>Responsibilities</strong><ul><li>Develop robust service logic to expose AI models via RESTful APIs using frameworks such as FastAPI or Flask</li><li>Collaborate with data scientists, engineers, and product teams to translate business requirements into technical solutions</li><li>Work within Azure cloud infrastructure, leveraging containerised environments for scalable and reliable deployments</li><li>Support model lifecycle management using tools such as Databricks Mosaic AI and AI Foundry, ensuring governance, traceability, and performance monitoring</li><li>Implement data preprocessing pipelines and feature engineering workflows</li><li>Ensure codebases are secure, scalable, maintainable, and aligned with software engineering best practices</li><li>Monitor deployed models and services, iterating based on performance metrics, feedback, and evolving requirements</li><li>Maintain clear documentation and appropriate testing coverage for all developed components</li><li>Contribute to shared design, development, deployment, and monitoring practices within cross-functional agile teams<br></li></ul><p><br></p><strong>Requirements</strong><ul><li>Strong proficiency in Python, including object-oriented and functional programming</li><li>Solid experience building API-driven services using FastAPI or Flask</li><li>Familiarity with data manipulation libraries such as Polars, Pandas, and NumPy</li><li>Experience with model deployment and serialisation (e.g. Joblib, Pickle, TorchScript)</li><li>Hands-on experience with LangChain and other open-source frameworks for AI agents and orchestration pipelines</li><li>Strong software engineering fundamentals, including Git-based version control and testing with Unittest or Pytest</li><li>Understanding of API security practices, including authentication and input validation</li><li>Experience working with Azure cloud platforms and Docker-based containerisation</li><li>Ability to work effectively in agile environments</li><li>Strong communication skills and the ability to collaborate with cross-functional teams<br></li></ul><p><br></p><strong>Nice to Have</strong><ul><li>Experience working closely with stakeholders to shape and refine AI-powered solutions</li><li>Demonstrated ability to adapt to changing requirements and iterate on deployed services based on real-world feedback</li><li>A continuous improvement mindset, focused on improving reliability, scalability, governance, and maintainability</li><li>Experience managing AI services end to end, including deployment, monitoring, documentation, and ongoing support</li><li>A future-focused approach to building scalable, secure services aligned with long-term platform needs<br></li></ul><p><br></p><strong>Benefits</strong><ul><li>Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)</li><li>No Weekend Work: Real work-life balance, not just words</li><li>Day 1 Benefits: Laptop and full medical insurance provided</li><li>Support That Matters:Mentorship, community, and forums where ideas are shared</li><li>True Belonging: A long-term career where your contributions are valued<br></li></ul></p><p><br></p><br><p>At Smart Working, you’ll never be just another remote hire.</p><p><br></p><p>Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.</p><p><br></p><p>If that sounds like your kind of place, we’d love to hear your story. </p><br><p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p>

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