At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a dynamic team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation.

About The Job

Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers.

In this role, you will lead a project team of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.

You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle,from pre-sales to post-implementation,while collaborating closely with research, product, and engineering teams to shape the future of our offerings.

As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.

Responsibilities

• Deliver as an IC the critical lines of code of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects.

• Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.

• Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.

• Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.

• Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.

• Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.

How We Work in Applied AI

• We care about people and outputs.

• What matters is what you ship, not the time you spend on it.

• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to.

• The best idea wins, whether it comes from a principal engineer or someone in their first week.

• Always ask why. The best solutions come from deep understanding, not from copying what worked before.

• We say what we mean. Feedback is direct, timely, and given because we care.

• No politics. Low ego, high standards.

• We embrace an unstructured environment and find joy in it.

Requirements

• You are fluent in French and English.

• You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.

• You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, Staff Engineer or Solutions Architect) focused on AI products or enterprise solutions.

• You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.

• You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.

• You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face).

Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.

• You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.

• You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.

• You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.

Ideally, you have:

• Contributed to open-source projects, particularly in the LLM or AI space.

• Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.

• A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.

Why joining us?

You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!

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Responsibilities:

• Design and productionize agentic AI frameworks , including multi-agent coordination, planning, tool-use, and memory , that allow agents to maintain long-term context and execute complex tasks across the Dropbox ecosystem.
• Lead the end-to-end design of ML systems, from fine-tuning (SFT, RLAIF) and advanced prompting to inference optimization and production monitoring.
• Establish rigorous safety, alignment, and evaluation frameworks to ensure our autonomous systems are helpful, honest, and harmless.
• Collaborate across Product, Design, Infra, and Frontend teams to translate ambiguous user needs into concrete AI capabilities that move the needle for the business.
• Mentor junior engineers and serve as a core contributor to the broader Dropbox AI strategy, fostering a culture of technical excellence.

Requirements:

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent work experience).
• 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems.
• Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.
• Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar).
• Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model.
• Extensive experience working with large-scale distributed data systems and high-throughput production environments.
• Exceptional analytical skills and a 'bias to action' when navigating ambiguous technical challenges.

Preferred Qualifications:

• PhD with a focus on Deep Learning, NLP, or Reinforcement Learning (RLHF/RLAIF).
• Proven track record of taking AI products from concept to launch, either at a massive scale (millions of users) or by leading multiple 0 → 1 cycles in a fast-paced environment.
• Hands-on experience with autonomous agent frameworks, multi-step planning, tool-use (function calling), and advanced RAG.
• Experience with inference optimization, model distillation, or fine-tuning techniques to improve performance and cost-efficiency.

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Our ideal candidate has a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent work experience). They should have 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems. They should also have professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.

The successful candidate will have deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar). They should be strong in Python and have experience with systems languages like Go or C/C++. They should also be comfortable building the infrastructure that surrounds the model.

In addition, they should have extensive experience working with large-scale distributed data systems and high-throughput production environments. They should have exceptional analytical skills and a 'bias to action' when navigating ambiguous technical challenges.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

We offer a competitive salary range of $245,200-$331,800 USD (US Zone 1), $220,700-$298,700 USD (US Zone 2), or $196,200-$265,400 USD (US Zone 3).

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