Python Software Developer

Primary Responsibilities:

• Lead the design and development of scalable, AI-enabled applications using modern AI/ML technologies.
• Own the end-to-end lifecycle of AI/ML solutions, ensuring seamless integration, scalability, and performance.
• Architect and maintain robust backend services using Python and Java frameworks (e.g., FastAPI, Spring), with a focus on performance and security.
• Build intuitive front-end interfaces using React.js to deliver seamless user experiences.
• Apply best practices to develop secure, cloud-native solutions aligned with real-world use cases (Azure/Google Cloud).
• Evaluate existing systems and propose architectural enhancements with detailed technical design documentation.
• Collaborate with Product Owners, Scrum Masters, and SMEs to translate business needs into technical solutions.
• Facilitate technical design walkthroughs and gather actionable feedback from stakeholders.
• Plan and execute comprehensive testing strategies, including automation and performance testing.
• Provide production support, including real-time debugging and root cause analysis.
• Ensure system stability through proactive monitoring and long-term fixes.
• Manage task priorities effectively within Agile frameworks.
• Stay current with emerging AI/ML technologies and industry trends.
• Drive innovation by exploring new tools and techniques to improve scalability and performance
• Comply with company policies, including flexibility in work location and team assignments

Required Qualifications:

• 6+ years of software development experience, with 2+ years in AI/ML engineering
• 6+ years of full-stack development experience with Python
• 3+ years of cloud deployment experience (preferably GCP)
• 3+ years in DevOps and CI/CD (Jenkins, Git, Terraform, etc.)
• Solid experience in backend development using Python including FastAPI 
• Experience with RESTful APIs and event-driven architectures (Kafka, Redis)
• Experience across software development lifecycle
• Proven expertise in performance optimization for real-time systems
• Proficiency in RDBMS and/or NoSQL databases
• Solid understanding of microservices and service-oriented architecture
• Familiarity with AI/ML techniques such as NLP, computer vision, and LLMs
• Proficiency in Python (preferred) and working knowledge of R or similar
• Proven ability to leverage and guide teams in adopting coding assistants such as GitHub Copilot to enhance productivity and code quality
• Solid communication and presentation skills