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- Herhangi
- Maaş
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- Açılışlar
- 1
- Yayınlandı
- 7 saat önce önce önce
- Çalışma modu
- Ofiste
- Eğitim
- Degree in Computer Science or Software Engineering or equivalent practical experience
- Sürdürmek
- Başvuru yapılması gerekmektedir.
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İş tanımı
About Mistral
Mistral specializes in comprehensive AI solutions, delivering everything from cutting-edge models to developer tools, applications, and computational resources. Our partnerships span high-stakes sectors including finance, manufacturing, defense, healthcare, and public services, where we co-design tailored AI platforms that clients can operate autonomously.
We foster a dynamic, collaborative, and diverse team passionate about AI's transformative potential. Our workforce is distributed globally across Europe, North America, Asia, and the Middle East, and values creativity, humility, and teamwork.
Role Overview
We are inviting enthusiastic and capable software engineers to join our New York City team as Backend Engineers. This role focuses on developing foundational systems behind our products—AI Studio, Le Chat, and Mistral Code—enhancing how users and developers engage with our AI platform at large scale. Responsibilities include building dependable, high-performance backend infrastructures and APIs serving millions. Candidates from mid-level to staff engineers who are collaborative and eager to deliver impactful solutions are encouraged to apply.
Responsibilities
- Architect, develop, and sustain scalable and robust backend features and APIs using modern frameworks.
- Maintain high performance and reliability across distributed system environments.
- Work on systems related to inference, billing, AI tools, observability, and developer experience.
- Design secure, scalable, and efficient system architectures supporting fast-growing products.
- Partner with infrastructure teams on deployment, monitoring, and system optimization.
- Produce clean, maintainable code and actively participate in code reviews and establishing technical standards.
- Collaborate cross-functionally with product managers, platform engineers, and AI/ML teams to deliver scalable model-as-a-service products.
- Ensure consistent user experience across multiple products like AI Studio, Le Chat, and Mistral Code.
- Address complex engineering problems involving distributed computing and AI integration.
- Stay current with technologies such as AI/LLM integration, observability tools, or backend frameworks and integrate them where applicable.
Ideal Candidate Profile
- Degree in Computer Science, Software Engineering, or equivalent hands-on experience.
- Proficiency in Python or other backend languages such as Golang, Kotlin, or C# (assessment in preferred language).
- Strong grasp of backend fundamentals including APIs, databases, caching, messaging systems, and distributed architectures.
- Excellent problem-solving skills with attention to detail.
- Self-driven with a mindset to independently deliver end-to-end functionality.
- Strong communication skills and cooperative approach.
- Low-ego, team-oriented, and curious about continuous learning.
Preferred Experience
- Full-stack development exposure.
- Working intimately with APIs and developer ecosystems.
- Deploying software across various environments such as cloud and on-premises.
- Infrastructure management tools including Docker, CI/CD pipelines, Kubernetes, Helm, and Terraform.
- AI/ML engineering experience.
- Observability and monitoring technologies like Prometheus, Grafana, and Datadog.
- Product-focused and UX-aware mindset.
Hiring Process
- Initial introduction call (30 minutes).
- Live coding interview (45 minutes).
- System design interview (45 minutes).
- Hiring manager interview (30 minutes).
- In-depth interview for lead and staff engineers (60 minutes).
- Culture fit discussion (30 minutes).
- Reference checks.
Benefits
We provide a comprehensive benefits package tailored to support employee well-being, development, and work-life balance. The benefits vary by location and may include healthcare, parental leave, retirement plans, relocation assistance, wellness initiatives, meal and transport allowances, and other perks specific to your region.
For detailed benefits information, please refer to our Benefits page.
Privacy
Your privacy is important. Details on how your personal data is managed can be found in our Applicant Privacy Policy.