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The Lead Generative AI Engineer will architect and deploy production-grade GenAI platforms, RAG pipelines, and agentic workflows. The role involves technical leadership, mentoring, and optimizing AI infrastructure using Python and modern LLM frameworks.
Build and maintain Python-based REST APIs and microservices using Django/FastAPI/Flask, integrate databases, and deploy on cloud-native stacks for enterprise clients.
Build and deploy enterprise-grade AI applications using LLMs, RAG, AI Agents, and vector search; design scalable backend services and orchestration pipelines for agentic workflows.
Build and maintain enterprise-grade web apps using .NET Core and React, including REST APIs, microservices, and cloud-native tooling like Azure and Kubernetes.
Develops and maintains enterprise banking Java applications using Spring Boot, microservices, and RESTful APIs, integrating with core banking systems and payment gateways.
Key Responsibilities Design modern and intuitive user interfaces for enterprise web and mobile applications. Create user flows, wireframes, prototypes, and high-fidelity UI designs using Figma. Translate business…
As a Full Stack Software Engineer, you will be responsible for designing, developing, and maintaining modern enterprise applications using ASP.NET, .Net Core, React, TypeScript, and cloud technologies. You will work…
Key Responsibilities We are looking for a motivated Full Stack Developer to design, build, and maintain web applications using ASP.NET Core (C#) and Angular . You will be responsible for: Developing scalable REST APIs…
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