- Company Name
- Relay X
- Job Title
- Offre de stage – Ingénieur(e) Full Stack (IA Générative)
- Job Description
-
**Job Title**
Full Stack Engineer (Generative AI) – Internship
**Role Summary**
Join an early‑stage AI startup as a full‑stack developer, working closely with the CTO to design, build, and deploy AI‑enhanced software features. The role blends front‑end, back‑end, and machine‑learning engineering in a fast‑moving environment focused on regulatory compliance solutions for high‑risk industries.
**Expectations**
- Demonstrate a proactive, entrepreneurial mindset and willingness to take ownership of projects.
- Rapidly learn new technologies and adapt to evolving product requirements.
- Contribute to a collaborative, high‑impact team while maintaining code quality and documentation.
**Key Responsibilities**
- Co‑design and implement new software features (both AI‑related and general) using modern front‑end frameworks.
- Enhance inference pipelines, including prompt/context management and quality evaluation for large language models.
- Integrate automated metrics, logging, and user‑feedback mechanisms.
- Build, test, and deploy prototypes to production quickly and reliably.
- Maintain CI/CD workflows, version control, and containerization (Docker).
- Support cloud infrastructure across OVH, AWS, Azure, or GCP.
**Required Skills**
- Front‑end: Next.js, Angular, React, JavaScript/TypeScript, Tailwind CSS.
- Back‑end: Node.js, NestJS, Python, FastAPI, REST/GraphQL API development.
- AI/Data: Experience with LLMs, agentic systems, LangChain, LlamaIndex, Pydantic, vector databases, SQL/Prisma.
- Tools: Git, Docker, modern IDEs (e.g., Cursor, VS Code).
- Cloud platforms: Familiarity with at least one major provider (AWS, Azure, GCP, OVH).
- Strong problem‑solving abilities and solid software engineering fundamentals.
**Required Education & Certifications**
- Currently enrolled in or recent graduate of a top engineering school or university program in Computer Science, AI, Data Science, or DevOps (or equivalent self‑taught background).
- Demonstrated project work (e.g., GitHub repositories) showcasing relevant full‑stack and AI experience.