Job description

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We are seeking an Applied AI, Forward Deployed Engineer to build customer use cases on top of the Mistral stack. You will turn "we have agents" into "we shipped something a client uses." This role is about composing cybersecurity-related agentic workflows, configuring harnesses for real-world scenarios, and delivering value directly to clients. As a Forward Deployed Engineer at Mistral, you may also work on use cases outside cybersecurity, bringing the same context engineering, orchestration, and eval work to enterprise workflows in finance, manufacturing, defense, or the public sector. What You Will Do - Client-Facing Agentic Solutions - You'll individually help deploy into production use cases with considerable business impact across various industries, with cybersecurity client assignments as a priority - You'll work on state-of-the-art GenAI applications, driving a crucial technological transformation together with our customers - Tackle iconic use cases that no existing solution on the market can address - from custom configuration of cybersecurity harnesses for cloud defense, to optimizing agentic vulnerability scanning solutions, to customizing agentic red-teaming solutions or penetration testing scenarios - You'll work directly on client use cases, translating security requirements into agentic solutions - You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations, providing technical guidance on our products and explaining Mistral technologies to various stakeholders - You'll collaborate with our product and science teams to continuously improve our product and model capabilities based on customer feedback 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 About You - You are fluent in English - You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have proven experience in AI or machine learning product implementation with APIs, back-end, and front-end interfaces - You have experience tackling advanced RAG, building agentic use cases, or fine-tuning LLMs - You have a deep understanding of the concepts and algorithms underlying machine learning and LLMs - You have strong technical coding skills in Python - You have strong communication skills, with an ability to explain complex technical concepts in simple terms to both technical and non-technical audiences Ideally, you have: - Contributed to open-source projects, in particular in the space of LLMs - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager - Hands-on experience building agents, LLM orchestration, context engineering, evals, and RAG systems - A bias toward action and delivery - you ship fast - The ability to operate independently with a customer-led mindset - The ability to reuse internal building blocks and components effectively - Strong problem-solving abilities and attention to detail - A collaborative attitude - Pentesting knowledge - Experience developing a cybersecurity product - Experience building agentic harnesses or multi-agent systems end-to-end - A strong background in evals and benchmarking of agent systems - Experience with security tooling or workflows - Prior work on production AI systems in regulated or high-stakes environments WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page app.notion.com. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy legal.mistral.ai.

Requirements

Must-haves

Client-Facing Agentic Solutions
You'll individually help deploy into production use cases with considerable business impact across various industries, with cybersecurity client assignments as a priority
You'll work on state-of-the-art GenAI applications, driving a crucial technological transformation together with our customers
You'll work directly on client use cases, translating security requirements into agentic solutions
You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations, providing technical guidance on our products and explaining Mistral technologies to various stakeholders
You'll collaborate with our product and science teams to continuously improve our product and model capabilities based on customer feedback
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
You are fluent in English
You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
You have proven experience in AI or machine learning product implementation with APIs, back-end, and front-end interfaces
You have experience tackling advanced RAG, building agentic use cases, or fine-tuning LLMs
You have a deep understanding of the concepts and algorithms underlying machine learning and LLMs
You have strong technical coding skills in Python
You have strong communication skills, with an ability to explain complex technical concepts in simple terms to both technical and non-technical audiences
Contributed to open-source projects, in particular in the space of LLMs
Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager
Hands-on experience building agents, LLM orchestration, context engineering, evals, and RAG systems

Nice-to-haves

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Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonllm

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Parental Leave

Wellness