Applied AI Engineer, Mistral AI

• Fluent in English
• 5+ years in SRE, Production Engineering, or DevOps, with a record of shipping tooling
• Strong multi-tenant Kubernetes fluency, namespace segmentation, network policy, RBAC, admission control, operations at scale
• On-call discipline: incident response, blameless post-mortem culture, runbook-first mindset
• Observability stack in production: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, Signoz
• Infrastructure as code: Terraform, Ansible (or close equivalents)
• Proficient in Python and/or Golang for tooling and automation
• Security mindset: you treat secure-SDLC, CVE response, and supply-chain integrity as reliability properties of the shipped artifact, not as someone else's job
• Strong written communication skills: runbooks, post-mortems, and customer-facing incident comms are core deliverables of this role
• Comfortable operating with high autonomy in an ambiguous, fast-paced environment — and disciplined enough to defend the team's scope when work tries to spill in
• Solid Linux internals, networking debug, and distributed-systems fundamentals

Desirable

• The Applied AI team is Mistral's customer-facing technical organization
• We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact
• Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution
• Our SRE team works transversally across customer engagements, enabling value creation through Mistral tech - at scale
• By joining the team 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
• You will be one of the founding engineers of the Applied AI SRE sub-team
• Your mission, alongside the team, is to build and operate the framework to ensure Mistral’s solution delivery is reliable and sustainable - and applied uniformly across all our accounts, both Mistral-hosted and customer-hosted
• You should already have a strong understanding of what operational excellence looks like, and you’re ready to scale your impact
• You will operate in four concurrent modes:
• BUILD - Design for a fleet of Mistral platforms and apps. Build proactivity to reduce reactivity
• Productize reliability, author runbooks, create SLO templates, implement observability
• RUN - Operate the Tier-1 customer environments that Mistral are contracted to operate
• Ensure SLO compliance, own on-call and incident response, manage drift, partner with Technical Support as L3 escalation, champion high signal post-mortems
• ENABLE - Productize how Mistral deploy, secure, and scale our Applied AI solutions
• Engineer on-demand provisioning, author security baseline packages, embed security guardrails, automate everything
• SECURE - Own the security operations layer for our customer-side deployments
• Lead CVE response across the fleet, ship supply-chain integrity controls (SBOM, signed images, provenance), co-page with InfoSec on security incidents, enforce secure-config baselines
• This is a framework-first, fleet management role at heart. If you're excited by the difference between solving one customer's problem and structurally solving the class of problem for every customer, this is the role
• 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