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Strong Tier-1 brand, metro location and mid-level title balanced by niche GenAI skill requirements.
GenAI-focused backend and cloud deployment skills moderately restrict cross-industry transferability.
Explicit four-year requirement plus broad backend, GenAI and cloud/DevOps expectations increase screening rigidity.
Design, develop, and maintain scalable backend solutions including event-driven architectures and API integrations for Generative AI and Agentic AI projects.
Manage data storage using relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases to support AI applications in production.
Implement containerization (Kubernetes) and DevOps practices (CI/CD pipelines with Azure DevOps, GitHub Actions) for deployment and scalability.
Bachelor's and Master's degrees required.
At least 4 years of professional experience.
Proficiency in English (oral and written).
Not explicitly mentioned: notice period, location constraints, or travel requirements.
Experienced in integrating, scaling, and deploying Generative AI and agentic applications in production using LLM interaction frameworks like LangChain, Semantic Kernel, and LlamaIndex.
Advanced Python programming skills including OOP, asynchronous programming, concurrency, and performance optimization for scalable AI systems.
Strong foundation in data structures, algorithms, software design principles, cloud-native development on Azure/AWS, container orchestration (Kubernetes, Docker), and additional OOP languages (Java, C++, C#).