16 ene
Encora
Xico
**Important Information**
Experience: + 8 years
Job Mode: Full-time
Work 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.
**About Encora**
Encora is the preferred digital engineering and modernization partner of some of the world's leading enterprises and digital native companies.
With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora's technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
**At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.