Technical Support Engineer, Mistral AI
On-Premise
+ Equity
Offers Visa sponsorship
Generative AI model developers
Be an early applicant
Generative AI model developers
501-1000 employees
Be an early applicant
+ Equity
Offers Visa sponsorship
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- This role is ideal for someone who excels at technical troubleshooting, incident investigation, and customer communication in a B2B environment
- Experience: 3+ years in technical support, systems administration, or DevOps, with a focus on on-premise or hybrid infrastructures
- Hands-on experience with troubleshooting complex technical issues in enterprise environments
- Knowledge of AI/ML workflows, data pipelines, or high-performance computing (a strong plus)
- Familiarity with ticketing systems (Intercom), RGPD compliance, and security best practices
- Exceptional problem-solving and analytical skills
- Strong written and verbal communication in French and English (additional languages are a bonus)
- Ability to explain technical concepts clearly to non-technical stakeholders
- Customer-obsessed, with a passion for delivering high-quality support
- Collaborative, able to work effectively in a distributed, fast-paced team
- Curious and adaptable, with a willingness to learn and master new technologies
What the job involves
- We are seeking a Technical Support Engineer - On-Premise Infrastructure to join our Support team in France
- As a key member of the support team, you will be responsible for handling escalated technical issues from on-premise enterprise clients, reproducing complex problems, and collaborating with engineering, data, and product teams to ensure swift resolution. You will report directly to the Head of Support, and play a critical role in maintaining customer satisfaction and improving our support operations
- This is a unique opportunity to work at the intersection of AI infrastructure, customer success, and technical problem-solving
- Frontline Investigation: Handle escalated tickets from enterprise clients via Intercom, focusing on on-premise infrastructure and AI-related issues (e.g., deployment, performance, integration, security)
- Root Cause Analysis: Ask the right questions to gather context, reproduce issues in test environments, and diagnose technical problems (systems, networks, storage, GPU clusters, AI models)
- Cross-Team Collaboration: Work closely with engineering, and deployment teams to escalate, track, and resolve incidents efficiently
- Proactive Communication: Provide clear, empathetic, and timely updates to clients and internal stakeholders, ensuring transparency throughout the resolution process
- Documentation: Create and update technical FAQs, troubleshooting guides, and internal knowledge base articles to empower self-serve/L1 team and reduce recurrence of issues
- Feedback Loop: Identify recurring pain points in on-premise deployments and suggest improvements to product, documentation, or support workflows
- Empathy & Ownership: Maintain a customer-first mindset, ensuring clients feel heard and supported, even in high-pressure situations
- Solution-Oriented: Proactively propose workarounds, fixes, or process optimizations to enhance the customer experience and reduce incident resolution time
- On-Premise & Cloud Environments: Deep understanding of Linux/Windows servers, networking, virtualization, storage, security (firewalls, RGPD compliance), and cloud providers (AWS, GCP, Azure)
- Kubernetes/Helm: Experience with deployment, scaling, and troubleshooting of applications in Kubernetes clusters using Helm charts
- Terraform: Familiarity with Infrastructure as Code (IaC) for managing cloud resources is a strong plus
- AI Infrastructure: Knowledge of AI/ML pipelines, LLM/RAG deployments, GPU acceleration, and data storage solutions for enterprise clients
- Tooling: Proficiency in Intercom, monitoring tools, scripting (Bash/Python), and diagnostic utilities (logs, performance metrics)
Our take
Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.
Mistral features up to 176 billion parameters, and its open-source nature has sparked concerns about potential misuse. However, Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.
In 2025, Mistral secured a massive €1.7 billion funding round, raising its valuation to €11.7 billion. This Series B funding, led by European chip firm ASML, underscores significant interest in alternatives to ChatGPT and a push away from Silicon Valley dependence by European AI competitors.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Sep 2025
$2.0bn
SERIES C
Jun 2024
$547.4m
SERIES B
Total funding: $3.1bn
Company benefits
- Competitive bonus structure
- Equity
- Opportunities for professional growth and development
Company HQ
Villette, Paris, France
Leadership
Timothee Lacroix
(Co-Founder & CTO)Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD
Guillaume Lample
(Co-Founder & Chief Scientist)Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital
Arthur Mensch
(Co-Founder & CEO)Previously Staff Research Scientist at DeepMind, Post-doc researcher at École normale supérieure, Visiting Researcher at NYU Courant Institute of Mathematical Sciences and PhD Student at Inria
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