15 ene
Encora
Xico
.
**Important Information**Experience: + 8 yearsJob Mode: Full-timeWork Mode: Work from home**Responsibilities and Duties**- AI Solution Design and Integration- Design and integrate AI/ML models (shared and tenant-specific) into the SaaS platform, enabling features such as NLP, RAG (Retrieval-Augmented Generation), and predictive analytics.- Architect and implement pipelines for AI model training, fine-tuning, and deployment using Azure services like Azure Cognitive Services, Azure Machine Learning, and related tools.- Define and implement strategies for tenant-specific AI processing,
ensuring data and model isolation while optimizing performance.- Full-Stack Development- Implement and manage serverless architectures using Azure Functions and Durable Functions, ensuring high scalability and performance.- Contribute to the development and maintenance of the tenant portal, admin dashboards, and API gateway for seamless multi-tenant management.- SaaS Architecture Collaboration- Collaborate with the Cloud Architect to ensure the AI and full-stack components align with the overall SaaS architecture.- Work closely with DevOps and engineering teams to implement CI/CD pipelines, manage infrastructure provisioning, and optimize deployments.- Leadership and Strategy- Provide technical leadership to the AI and full-stack engineering teams, mentoring developers and promoting best practices in software design and AI integration.- Define coding standards and architectural guidelines to ensure maintainability and scalability of the platform.- Performance and Optimization- Develop scalable, multi-region solutions that ensure compliance with tenant-specific data residency requirements.- Collaboration and Stakeholder Engagement- Partner with product managers, DevOps,
and QA teams to translate business requirements into robust technical solutions.
**Qualifications and Skills**- 8+ years of experience in software engineering, with at least 5 years focusing on.NET-based full-stack development and a strong foundation and hands-on experience of AI- Experience building multi-tenant SaaS platforms or projects with tenant-specific processing and data isolation.- Extensive experience in AI/ML model design and deployment, with a focus on NLP (e.G., GPT, BERT), predictive analytics, or RAG-based solutions.- Strong expertise in.NET Core and C# for developing APIs, backend services, and serverless solutions.- Proven experience with Azure Functions, Durable Functions,
and serverless architectures.- Familiarity with modern front-end frameworks for web apps (e.G., React, Angular) is a plus.- Familiarity with building and managing tenant-specific APIs and integrating them into multi-tenant architectures.- Expertise in Azure services, including Azure Cognitive Services, Azure Open AI, Azure AI Search, Azure Phi3 Models, Azure API Management, Cosmos DB, and Blob Storage.- Advanced Azure Certifications
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