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.