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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain scalable backend solutions for Generative AI and Agentic AI projects, including event-driven architectures and API 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 efficient deployment and scalability, collaborating with cross-functional teams including data scientists and DevOps engineers.
Minimum Requirements
Bachelor's and Master's degrees required.
Minimum 4 years of relevant work experience.
Proficiency in English (oral and written) mandatory.
Experience with Python frameworks (Flask, FastAPI), relational and NoSQL databases, containerization (Kubernetes), and CI/CD tools (Azure DevOps, GitHub Actions) explicitly required.
Ideal Candidate Profile
Experienced in integrating and deploying GenAI and agentic applications at scale using LLM interaction frameworks like LangChain and Semantic Kernel.
Advanced Python programming skills including OOP, asynchronous programming, concurrency, and performance optimization tailored for scalable AI systems.
Strong foundation in software design principles, cloud-native development (Azure/AWS), microservices architecture, and container orchestration with additional skills in OOP languages (Java, C++, C#) and real-time communication (WebSockets).