В Mistral AI это чётко очерченная senior-роль с разработкой production-систем на базе ИИ, высокой самостоятельностью и работой в быстрорастущей сфере; при этом неструктурированная культура с высоким темпом подходит не всем.
Высокий темп работы
Современный стек
Передовой ИИ
Полная ответственность
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Software Engineer (AI): Building reliable agentic and GenAI systems from prototype to production with an accent on agent orchestration, full-stack engineering, security, and observability. Focus on designing tool use, memory, retrieval, evaluation loops, failure recovery, and safeguards for agents operating against sensitive systems.
Location: Paris, France
Company
Mistral AI provides full-stack AI solutions, including frontier models, developer tools, applications, and compute, for enterprise customers in high-stakes industries.
What you will do
Build AI systems end to end, from prototypes through production.
Design agent architectures covering orchestration, tool use, memory, retrieval, and system interfaces.
Develop backend services, APIs, and user interfaces for working with agents.
Turn customer solutions into reusable patterns and platforms.
Design for throughput, latency, cost, failure recovery, security, permissions, sandboxing, prompt-injection defenses, and audit trails.
Build evaluation and tracing loops, and collaborate with researchers, engineers, and customer-facing teams.
Requirements
5+ years of production software experience, including at least one agentic or GenAI system shipped to production and operated after launch.
Ability to ship across the stack with NodeJS frameworks such as NextJS, Express, or Fastify, or Python frameworks such as FastAPI.
Confidence with TypeScript and React/NextJS or similar technologies.
Hands-on experience with agent design, including orchestration, tool use, retrieval, evaluation, and real-world failure modes.
Autonomous ownership of problem definition, technical approach, and outcomes.
Fluent English and clear communication with technical and non-technical audiences.
Ability to ship incrementally, prioritize time to value, and apply product judgment based on user needs.
Nice to have
Open-source contributions, particularly involving agents or LLMs.
Experience deploying and operating systems with Docker, Kubernetes, Terraform, AWS, GCP, or Azure.
Security experience in application, cloud, or AI security, including prompt injection, agent security, SBOM, or SLSA.
Experience with security workflows such as alert triage, threat hunting, investigation agents, SIEM, XDR, or SOAR tooling.
Culture & Benefits
Applied AI work emphasizes shipped outcomes, autonomy, direct feedback, low ego, and high standards.
Benefits vary by country and may include healthcare, parental leave, retirement plans, relocation support, wellness programs, and meal and transportation allowances.
Benefits are location-specific and depend on the candidate's country.
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