Senior Python 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.

• Strong experience in backend development using Python or Java, including FastAPI or Spring.

• 6+ years of full-stack development experience with React.js and backend APIs.

• 3+ years of cloud deployment experience (preferably GCP).
• 3+ years in DevOps and CI/CD (Jenkins, Git, Terraform, etc.).
• Experience with RESTful APIs and event-driven architectures (Kafka, Redis).
• 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.
• Experience across software development lifecycle.
• Proven ability to leverage and guide teams in adopting coding assistants such as GitHub Copilot to enhance productivity and code quality.
• Experience with building AI agents using Google ADK is a plus.
• Strong communication and presentation skills.