- Company Name
- Valeo
- Job Title
- Artificial Intelligence Engineer
- Job Description
-
**Job title:** Artificial Intelligence Engineer
**Role Summary:**
Design, integrate, and deploy customized AI solutions to meet business needs, ensuring technical and economic requirements are met. Collaborate with cross‑functional teams, manage project progress, and uphold best practices in development and deployment.
**Expectations:**
- Deliver high‑quality AI solutions that align with business objectives.
- Maintain clear communication of status, risks, and technical decisions.
- Demonstrate proficiency in cloud infrastructure, containerization, and CI/CD pipelines.
**Key Responsibilities:**
1. Conceive, build, and validate AI systems, including retrieval‑augmented generation (RAG) and large‑language‑model (LLM) frameworks.
2. Participate in design reviews with internal stakeholders and external vendors.
3. Follow coding standards, documentation, and secure deployment practices.
4. Track project milestones, report progress, and flag technical or business risks.
5. Develop and expose APIs (FastAPI, RESTful) for internal and external consumption.
6. Fine‑tune LLMs and engineer prompts to optimize model performance.
7. Manage data pipelines: batch processing, embeddings, and chunking.
8. Build lightweight user interfaces (Streamlit, Gradio) for stakeholder interaction.
**Required Skills:**
- Advanced Python programming; experience with RAG, LLM frameworks, and AI development.
- Database expertise: Qdrant, Firestore, PostgreSQL, BigQuery.
- Cloud infrastructure: GCP, Vertex AI (deployment, monitoring).
- Containerization & CI/CD: Docker, GitHub Actions.
- API development: FastAPI, RESTful services.
- LLM training, fine‑tuning, prompt engineering.
- Data processing: batch workflows, embeddings, chunking.
- UI prototyping: Streamlit, Gradio.
- Technical documentation: Mkdocs.
- Fluency in English (written and spoken) and French (written and spoken).
**Required Education & Certifications:**
- Engineer or Master’s degree in Computer Science, Engineering, or related field.
- 1–2 years of professional experience (internship, apprenticeship, or full‑time role).
- Certifications in AI or cloud technologies are a plus.
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