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Tier-1 brand, mid-level generalist role, metro location, and broad GenAI/backend skill requirements.
Strong backend and cloud skills are transferable, though GenAI specialization increases domain bias.
Explicit four-year experience plus bachelor's and master's degree requirement and technical stack specificity.
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Develop and maintain scalable backend solutions for GenAI and Agentic AI projects, including event-driven architectures and system integrations.
Manage data storage using relational and NoSQL databases to support AI applications in production environments.
Implement containerization and DevOps practices (CI/CD pipelines) for deployment and scalability, collaborating across product, ML, and DevOps teams.
Bachelor's and Master's degrees required.
Minimum 4 years of relevant work experience.
Proficiency in Python frameworks (Flask, FastAPI) and experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases.
Proficient oral and written English communication skills.
Experienced with LLM interaction frameworks like LangChain, Semantic Kernel, and LlamaIndex, including deployment and scaling in production.
Strong skills in advanced Python programming including OOP, asynchronous programming, concurrency, design patterns, and performance optimization.
Hands-on experience with cloud-native development on Azure/AWS, container orchestration (Kubernetes, Docker), and software design principles (SOLID, clean architecture).