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Tier-1 employer, metro location, and mid-level GenAI role increase candidate competition.
GenAI and cloud engineering skills are transferable across industries but require specific model and data experience.
Explicit four-year requirement plus multiple mandatory technical skills increases screening rigor.
Design and develop scalable software solutions specifically for GenAI projects leveraging Python and GenAI frameworks.
Implement and manage event-driven architectures, containerized deployments (Kubernetes/Azure/AWS), and data lakes to support real-time data processing and model integration.
Collaborate with cross-functional teams and mentor junior engineers to drive innovative GenAI solutions and continuous improvement.
Minimum 4 years of software engineering experience.
Proficient in Python with at least 3 years building scalable, secure applications, including knowledge of Flask/FastAPI web frameworks.
Experience with containerized cloud deployments (Azure Kubernetes Service, AWS, etc.) and version control using Git.
Bachelor's degree required; specific domain or degree in Computer Science preferred but not mandatory.
Strong practical experience designing scalable, modular, and secure Python applications within GenAI or AI-related domains.
Familiar with cloud-native development patterns and deployment practices including CI/CD on cloud platforms.
Experienced working in collaborative, cross-functional teams with mentoring responsibilities and involvement in complex technical problem solving.