19 AI Assistant that automatically analyzes error logs, stack traces, and exceptions from Proxym applications. It explains the probable cause of the bug in French, suggests concrete solutions with code examples, and detects recurring error patterns. Includes IDE integration (IntelliJ plugin) and a web dashboard for historical analysis. PFE

Project overview

• Build an AI Assistant that automatically analyzes error logs, stack traces and exceptions produced by Proxym applications.
• The assistant must explain the probable cause of the bug in French, propose concrete solutions with code examples, and detect recurring error patterns for historical analysis.

Objectives & deliverables

• Implement an analysis pipeline that consumes logs from Elasticsearch/Logstash, enriches them via AI (OpenAI / Claude), and stores results for dashboarding.
• Deliver an IntelliJ plugin for in-IDE explanations and suggestions, plus a React web dashboard for historical error analysis and pattern detection.

Core responsibilities

• Develop backend services (Spring Boot) to process logs, call AI APIs, and expose results via APIs.
• Integrate with Elasticsearch (logs), Logstash, Redis cache, and PostgreSQL for storage and retrieval; implement caching and indexing strategies.

Technologies & tools

• AI / LLM: OpenAI API and/or Claude for natural language analysis and code suggestion.
• Backend: Spring Boot; Database: PostgreSQL; Cache: Redis.
• Observability & logs: Elasticsearch + Logstash; Frontend: React dashboard.
• IDE integration: IntelliJ Plugin SDK to provide inline explanations and code suggestions inside the IDE.

Required profile

• Engineer profile / Bachelor’s degree; position for 1 Trainee.
• Strong Java/Spring Boot skills, familiarity with REST APIs, and interest in LLM integration and developer tooling.

How to apply

• To apply for this specific project (REF: PRX-2026-04), submit your application through the trainees platform: https://trainees-platform.proxym-group.net.
• In your application, highlight past projects with logs/error analysis, experience with LLMs, and any IntelliJ plugin or developer tooling work.