MS - Sr. Fullstack Engineer - Job3169 at Taller Technologies

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Full Time

Start Date

Immediate

Expiry Date

08 May, 26

Salary

0.0

Posted On

07 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C# /.NET, Python, Microservices Architecture, JavaScript Frameworks, Azure Cloud Services, DevOps Practices, Multi-Agent AI Systems, RAG Pipelines, LLM Fine-Tuning, AI-Powered Decision Engines, Event-Driven Architectures, Azure Data Factory, Azure DevOps, Azure OpenAI Service, Azure Logic Apps, Infrastructure as Code

Industry

IT Services and IT Consulting

Description

MS - Sr. Fullstack Engineer - Job3169 Summary We are seeking a highly skilled and experienced Sr. Fullstack Engineer to join our dynamic team. This role is pivotal in designing and implementing multi-agent AI systems, developing robust backend services, and creating responsive front-end applications. The ideal candidate will leverage their expertise in C# /.NET and Python, along with modern JavaScript frameworks, to deliver scalable and maintainable solutions. The Sr. Fullstack Engineer will also play a crucial role in utilizing Azure Cloud services for deployment and orchestration, while applying DevOps practices for CI/CD automation. This position offers an exciting opportunity to collaborate with cross-functional teams and mentor junior developers, contributing to the overall success of our innovative projects. Responsibilities Design and Implementation: Lead the design and implementation of multi-agent AI systems, ensuring they are scalable, efficient, and maintainable. Backend Development: Develop backend services using C# /.NET and Python, focusing on microservices architecture to enhance modularity and scalability. Frontend Development: Create responsive front-end applications using modern JavaScript frameworks, ensuring a seamless user experience. Cloud Services: Utilize Azure Cloud services for deployment and orchestration, ensuring high availability and performance of applications. DevOps Practices: Apply DevOps practices for CI/CD automation, streamlining the development process and enhancing collaboration between development and operations teams. Collaboration: Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality solutions that meet business requirements. Mentorship: Mentor junior developers, providing guidance and support to foster their professional growth and enhance team capabilities. Workflow Orchestration: Implement complex workflow orchestration and B2B integrations, ensuring smooth data flow and process automation. AI Integration: Integrate AI capabilities, including GPT integration and custom model deployment, to enhance application functionality. Data Preparation: Utilize Azure Data Factory for ETL/ELT pipelines, preparing data for AI applications and ensuring data integrity and quality. Requirements Must-Have Skills (5+ years of experience) C# /.NET: Proficiency in C# and .NET framework for backend development, including experience with .NET Core for building scalable applications. Python: Strong knowledge of Python for backend services, data processing, and AI-related tasks. Microservices Architecture: Experience in designing and implementing microservices architecture, focusing on modularity and scalability. JavaScript Frameworks: Proficiency in modern JavaScript frameworks (e.g., React, Angular, Vue.js) for developing responsive and dynamic frontend applications. Azure Cloud Services: In-depth knowledge of Azure Cloud services for deployment, orchestration, and management of cloud resources. DevOps Practices: Familiarity with DevOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing. Multi-Agent AI Systems: Experience in designing and implementing multi-agent AI systems using frameworks like LangChain, AutoGen, and CrewAI. RAG Pipelines: Ability to build Retrieval-Augmented Generation (RAG) pipelines with vector databases such as Pinecone and Weaviate. LLM Fine-Tuning: Experience with fine-tuning large language models (LLMs) and optimizing prompt engineering for improved performance. AI-Powered Decision Engines: Knowledge in developing AI-powered decision engines and autonomous task execution systems. Event-Driven Architectures: Experience with event-driven architectures using message queues like Azure Service Bus and RabbitMQ. Azure Data Factory: Proficiency in using Azure Data Factory for creating ETL/ELT pipelines for AI data preparation. Azure DevOps: Experience with Azure DevOps for managing CI/CD pipelines and Infrastructure as Code (ARM/Bicep). Azure OpenAI Service: Familiarity with Azure OpenAI Service for GPT integration and custom model deployment. Azure Logic Apps: Experience with Azure Logic Apps for complex workflow orchestration and B2B integrations. Infrastructure as Code: Strong understanding of Infrastructure as Code principles and tools. Monitoring and Observability Tools: Experience with monitoring and observability tools to ensure system reliability and performance. Nice-to-Have Skills Kubernetes and Docker: Familiarity with container orchestration using Kubernetes and containerization with Docker. Other Programming Languages: Knowledge of additional programming languages such as Java or SQL. Database Management: Experience with various database technologies, including Azure Cosmos DB, PostgreSQL, MySQL, NoSQL, and MongoDB. Cloud Platforms: Familiarity with other cloud platforms such as Amazon Web Services (AWS) or Google Cloud Platform (GCP). Machine Learning Frameworks: Experience with machine learning frameworks such as TensorFlow or Apache Spark.

Responsibilities

The Sr. Fullstack Engineer will lead the design and implementation of multi-agent AI systems, develop backend services, and create responsive front-end applications. They will also mentor junior developers and collaborate with cross-functional teams to deliver high-quality solutions.