# Applied AI Engineer

**Company**: Mistral AI
**Location**: Paris
**Work arrangement**: remote
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q119718658

**Apply**: https://jobs.lever.co/mistral/ac195fdb-1731-4ce2-b47e-c1bb8c72c59d
**Canonical**: https://yubhub.co/jobs/job_465a9e16-b26

## Description

As an Applied AI Engineer in the Proto Team, you will operate as a technical lead building production-grade AI systems in 4 to 8 weeks. You will work across GTM, engineering, and applied AI, translating ambiguous business problems into working software. You will own architecture, make technical decisions, and ship full-stack systems end to end. You will work directly with customers and internal teams, moving from scoping to deployment with high autonomy and high velocity. This role is for fast-moving, highly curious builders who thrive in complexity and ambiguity.

Key Responsibilities:

- Build and deliver full-stack AI solutions for global customers, owning the end-to-end execution from scoping to deployment as technical lead.

- Engage directly with customers to understand use cases, define requirements, and translate them into robust technical architectures and working systems.

- Collaborate across GTM, product, and engineering to ship solutions and contribute to internal tools, product improvements, and open-source initiatives.

- Solve complex applied AI problems across industries, working on real-world GenAI use cases and providing hands-on technical guidance throughout engagements.

Requirements:

- 2+ years experience as a hands-on engineer shipping AI-powered products (ML, software, or full-stack).

- Strong track record of building and deploying production systems end to end, not just prototypes.

- Comfortable working across the modern AI stack: LLMs, RAG, agentic systems, and their deployment in real-world applications.

- Strong software engineering fundamentals in Python, with experience building scalable backend systems (e.g., FastAPI, Pydantic).

- Working understanding of frontend development (e.g., React or Vue) to build usable interfaces when needed.

- Broad technical range: able to move fluidly between system design, infrastructure (e.g., Kubernetes), and applied LLM problem-solving, with a strong bias toward shipping.

## Skills

### Required
- Python
- FastAPI
- Pydantic
- React
- Vue
- Kubernetes
- LLMs
- RAG
- Agentic Systems

### Nice to have
- Docker
- Terraform
- Cloud Platforms
- Open-Source Projects