# 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_f7f16f55-bb2

## Description

At Mistral AI, we're looking for an Applied AI Engineer to join our Proto Team. As a technical lead, you'll build production-grade AI systems in 4 to 8 weeks, working across GTM, engineering, and applied AI. You'll own architecture, make technical decisions, and ship full-stack systems end to end. You'll engage directly with customers to understand use cases, define requirements, and translate them into robust technical architectures and working systems. You'll collaborate across GTM, product, and engineering to ship solutions and contribute to internal tools, product improvements, and open-source initiatives. You'll solve complex applied AI problems across industries, working on real-world GenAI use cases and providing hands-on technical guidance throughout engagements.

Key responsibilities include:

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

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

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

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

Requirements include:

- 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.

Ideal candidates will have:

- Built or won hackathons / AI competitions, with a track record of shipping creative solutions under tight deadlines.

- Experience with Docker, Kubernetes, cloud platforms (AWS or GCP), and infrastructure tooling such as Terraform.

- Contributed to open-source projects, ideally in the LLM or applied AI space.

- Strong full-stack + AI experience, having built and shipped end-to-end applications (e.g., FastAPI, Next.js).

If you're excited about leading technical innovation and solving real-world challenges with AI, we'd love to hear from you!

## Skills

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