AI Full stack Developer III

As a Senior Software Engineer, you will have a significant role in the design, development, and deployment of robust and scalable software solutions. Your responsibilities will include working on both front-end and back-end development, focusing on integrating and operationalizing Large Language Models (LLMs) and agentic AI systems. You will be an integral part of an Agile team, contributing throughout the software development lifecycle, from concept and design to testing, deployment, and maintenance. Your primary responsibilities will involve designing, developing, and maintaining high-quality web applications, integrating RESTful APIs and backend services, and working extensively with SQL Server for database design, development, and optimization. You will utilize your strong knowledge of Object-Oriented Programming (OOP), algorithms, and software design patterns to create efficient and maintainable code. Moreover, you will be involved in developing solutions leveraging LLMs, including effective prompting techniques and Retrieval Augmented Generation (RAG) with vector databases. You will also design and build agentic AI systems, potentially incorporating multi-agent workflows and agent tools. Collaborating within an Agile development environment, you will contribute to improving CI/CD pipelines for automated testing and release processes, and manage system observation and telemetry to ensure performance and reliability. To qualify for this role, you should have a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience, along with a minimum of 7 years of professional software development experience. Additionally, expertise in TypeScript and JavaScript, solid experience with SQL Server, and demonstrable experience in REST APIs are required. A deep understanding of OOP principles, data structures, algorithms, and software design patterns is essential. Hands-on experience with CI/CD tools, Agile development environments, and working with LLMs are necessary. Experience with agentic frameworks, multi-agent workflows, RAG architecture, vector databases, and agent tools is highly desirable. Proficiency in Python, system observation, logging, telemetry tools, and ensuring application security with OAuth2.x and other best practices are also important aspects of this role.,