AI Fullstack Developer III

Description

• Contribute to and improve CI/CD pipelines for automated testing and release processes.
• Ensure application security by implementing security fundamentals, including OAuth2.x and other best practices.
• Develop components and scripts using Python and TypeScript as needed.
• Apply strong knowledge of Object-Oriented Programming (OOP), algorithms, and software design patterns to create efficient and maintainable code.
• Optionally, contribute to cloud-based development initiatives.
• Develop and integrate RESTful APIs and backend services.
• Implement and manage system observation and telemetry to ensure performance and reliability.
• Design, develop, and maintain high-quality web applications using React or Angular, C#/.NET, and TypeScript/JavaScript.
• Collaborate effectively within an Agile development environment, participating in sprint planning, stand-ups, and retrospectives.
• Work extensively with SQL Server for database design, development, and optimization.
• Develop and implement solutions leveraging Large Language Models (LLMs), including effective prompting techniques and Retrieval Augmented Generation (RAG) with vector databases.
• Design and build agentic AI systems, potentially involving multi-agent workflows and agent tools (experience with MCP is a plus).

Requirements

• Strong understanding of security fundamentals (e.g., OAuth2.x, OWASP).
• Experience with system observation, logging, and telemetry tools.
• Deep understanding of OOP principles, data structures, algorithms, and software design patterns.
• Expertise in TypeScript and JavaScript.
• 6+ years of professional software development experience.
• Experience working in an Agile development environment.
• Demonstrable experience in designing and developing REST APIs.
• Hands-on experience with CI/CD tools and release pipelines.
• Proven experience with front-end frameworks such as React or Angular.
• Solid experience with SQL Server, including database design and query optimization.
• Familiarity with agent tools and frameworks (MCP experience is a plus).
• Experience in C# and the .NET framework.
• Experience with cloud platforms (e.g., Azure, AWS, GCP).
• Demonstrable experience working with LLMs (e.g., model integration, fine-tuning, prompt engineering).
• Experience in developing and deploying AI solutions in a production environment.
• Proven ability in crafting effective prompts for LLMs.
• Experience with agentic frameworks and developing multi-agent workflows is highly desirable.
• Proficiency in Python.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Preferred experience with RAG architecture and vector databases (e.g., Pinecone).

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance