- Company Name
- GROUPE ALLIANCE
- Job Title
- ASSISTANT(E) TECHNQUE CRÉATION PORTAIL IA
- Job Description
-
**Job Title**
Technical Assistant – AI Portal Creation
**Role Summary**
Responsible for adaptive and corrective maintenance of the front‑end and back‑end of an AI portal. Design, implement, and enhance AI assistants and their APIs, improve user interfaces, and ensure reliable operation through incident handling, performance tuning, and continuous integration pipelines. Collaborate with AI ambassadors and non‑technical users to translate needs into functional AI solutions.
**Expectations**
- Minimum 7 years of professional experience in AI/ML engineering.
- Proven expertise with Microsoft Azure AI ecosystem (Azure AI Foundry, Copilot, API Management).
- Ability to work autonomously, adapt quickly, synthesize complex information, and communicate clearly.
- Proactive mindset with strong problem‑solving and team‑oriented attitude.
**Key Responsibilities**
1. Front‑end maintenance: update and improve the AI assistant catalogue; propose UI enhancements for better user experience.
2. Back‑end maintenance: develop and expose new AI assistants with access controls; evolve supervision, usage‑tracking, and API exposure mechanisms.
3. Build pre‑configured AI assistants from user‑provided requirements; enhance document ingestion, knowledge bases, and prompt engineering to boost response quality and reduce cost.
4. Provide Level 1–2 technical support: diagnose incidents from application logs, propose fixes, and update onboarding flows to reduce recurring issues.
5. Train, evaluate, and fine‑tune AI models; implement bias mitigation and performance optimization best practices.
6. Contribute to CI/CD pipelines, infrastructure as code, and cloud‑native deployments (Docker, Kubernetes, Terraform, Azure DevOps).
7. Share expertise with the team and stay abreast of emerging AI technologies.
**Required Skills**
- Cloud & AI platforms: Microsoft Azure AI, Azure AI Foundry, Azure API Management.
- Programming & frameworks: Python, FastAPI, Celery/Redis, React, TypeScript, LangChain, LangGraph, RAGAS, LangFuse.
- Containerization & orchestration: Docker, Kubernetes, Terraform.
- DevOps: CI/CD pipelines (GitHub/Azure DevOps), monitoring, logging.
- Data handling: document ingestion, knowledge base construction, model training, prompt engineering.
- Tools: Visual Studio Code with GitHub Copilot, MS Office Copilot, SFEIR RAISE (RAG/GenAI).
- Soft skills: strong communication, analytical synthesis, adaptability, initiative, teamwork.
**Required Education & Certifications**
- Bachelor’s or higher degree in Computer Science, Software Engineering, Data Science, or a related field.
- Relevant certifications (e.g., Microsoft Certified: Azure AI Engineer Associate) are a plus.