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Strong PwC brand, mid-level GenAI role, and Bangalore metro create high competition.
GenAI engineering skills are transferable across industries but require specialized AI and deployment experience.
Explicit years, Python minimum, cloud, Kubernetes, and CI/CD requirements make shortlisting strict.
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Design, develop, and maintain software solutions specifically for GenAI projects focusing on scalable Python applications.
Implement event-driven architectures and manage containerized deployments on cloud platforms like Azure or AWS.
Collaborate with cross-functional teams including data scientists and DevOps engineers, mentor junior engineers, and drive innovation in GenAI technology adoption.
Bachelor's Degree required; Computer Science degree preferred.
Minimum 4 years of software engineering experience with at least 3 years hands-on Python programming.
Experience with containerization (Kubernetes), cloud deployment (Azure/AWS), and version control (Git).
Proficiency in English (oral and written); Notice period not explicitly mentioned in the JD.
Experienced in designing scalable, modular, and secure Python applications for GenAI use cases.
Familiar with cloud-native development patterns, CI/CD practices, and managing data pipelines for model training and inference.
Capable of collaborating across teams and mentoring juniors while handling complex technical challenges in a software engineering setting.