AI Engineer_Python

Role Overview

We are looking for an experienced AI Python Developer to join our team. The ideal candidate should be passionate about coding and developing scalable and high-performance applications. You will work closely with our front-end developers, designers, and other members of the team to deliver quality solutions that meet the needs of our clients.

Responsibilities

• Implement the AI need for the squad/product.
• Delivery of AI solutions to a high standard in line with requirements.
• Develop with prompt patterns, code with AI, AI augmented testing, and review practices.
• Design and implement autonomous AI Agents.
• Build agents capable of parsing, analyzing, and reasoning over large codebases.
• Implement agent workflows (planning, execution, validation, feedback).
• Contribute to Arval IT Develop.
• Develop AI use cases that meet development and security standards, while incorporating data and security objectives.
• Use approved tools (e.g., code assistants, test generators, release orchestration) aligned to the IT Standards catalog.
• Stay updated on the latest technological and innovations and best practices in AI.
• Upgrade and/or help to upgrade the documentation.

Requirements

Business and/or technical skills:

• Broad technical knowledge and experience across applications, development frameworks and technologies.
• Experience with AI in SDLC: code assistants, test generation, code review augmentation, and LLM integration patterns; understanding of cost/latency/quality trade offs and evaluation.
• AI & Agent Systems: Experience building LLM-powered agents / Prompt Engineering and structured output generation.
• Code analysis & Testing: Static and dynamic code analysis / Automated test generation /Unit, integration and end-to-end testing strategy / Test coverage tools (SonarQube, JaCoCo,...).

TECHICAL TOOLS /SKILLS

• Technologies related to AI.
• Expert-Level Python.
• Strong understanding Java/Spring Boot.
• Solid knowledge of Angular (Typescript).
• Expertise with PL/SQL and relational databases (Oracle, PostgreSQL, etc ).
• Git, CI/CD pipelines (GitHub, GitLab CI, Jenkins) / Containerization (Docker).
• Familiarity with Cloud environnement.

COMMON BASE TOOLS

• JIRA.

COMMON BASE METHODOLOGIES

• Agile.
• Scrum.
• KANBAN.
• Devops.

Behavioral Skills:

• Ability to collaborate / Teamwork.
• Adaptability.
• Creativity & Innovation / Problem solving.
• Ability to deliver / Results driven.
• Oral communication and written.