APPLICATION ENGINEER (FULL-STACK & AI SYSTEMS)

• Design, develop, and maintain full-stack internal applications across backend and frontend systems.
• Develop backend services using Java, C#, and Python.
• Develop frontend features using React or similar frameworks.
• Build and integrate REST APIs for internal systems and dashboards.
• Implement AI features including RAG, LLM integration, MCP, and Machine Learning models for prediction and anomaly detection.
• Deploy and maintain applications in on-premise Windows/Linux environments.
• Work with multiple data sources, including SQL Server, RTDB, Excel, and PDF.
• Troubleshoot production issues across frontend, backend, database, and infrastructure layers.
• Collaborate directly with business users to develop operational systems and deliver end-to-end solutions.

Requirements

• Strong experience in software development, preferably backend or full-stack development.
• Proficiency in at least Java or C#, with hands-on experience using Python.
• Hands-on experience with AI/LLM technologies, including at least one of RAG, LLM integration, MCP, or Machine Learning models.
• Experience using OpenAI, Anthropic, Ollama, or similar LLM APIs.
• Proficiency in Git, including branching, merging, and collaboration workflows.
• Solid understanding of REST APIs, SQL databases, debugging, and production troubleshooting.
• Experience with frontend development using React or similar frameworks is a plus.
• Comfortable working in on-premise environments.
• Able to deploy and operate applications without dedicated DevOps support.
• Strong problem-solving skills and ability to work in a fast-paced and evolving environment.
• Willing to learn and understand manufacturing, petrochemical, and industrial business processes.