Software Engineer, Golang

đŸ”„ 7 minutes ago

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Logo of Mistral AI

Mistral AI

201 - 500 employees

Founded 2023

đŸ€– Artificial Intelligence

☁ SaaS

🏱 Enterprise

Artificial Intelligence ‱ SaaS ‱ Enterprise

Mistral AI is a company that builds frontier large language and generative AI systems, offering platforms, models, and services to help organizations develop, customize, and deploy AI agents and applications. They provide products like Vibe (an AI agent for long-horizon work and coding variants), Studio (tools to build, test, and run AI agents and apps), Forge (training, aligning, and evaluating custom models), and Compute (infrastructure for training and inference). They also offer APIs, models (e. g. , Mistral Medium 3. 5, Mistral Small 4, Mistral OCR 4, Voxtral TTS), enterprise services for model customization and deployment, and industry-specific solutions for finance, public sector, manufacturing, energy & utilities, and transportation. Mistral emphasizes on self-hosted and cloud-hosted deployment options, privacy-focused enterprise deployments, and provides frontier-scale infrastructure and expert services for building tailored AI solutions.

📋 Description

‱ Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. ‱ Ensure high performance and reliability across our distributed systems. ‱ Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience. ‱ Design and implement efficient, secure and scalable architectures that support our fast-growing products. ‱ Collaborate with infrastructure teams on deployment, monitoring, and performance optimization. ‱ Write clean, maintainable and well-documented code. ‱ Participate in code reviews and contribute to technical standards and best practices. ‱ Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features. ‱ Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience. ‱ Tackle complex engineering challenges, from distributed systems to AI product integration. ‱ Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

🎯 Requirements

‱ Proficiency in Golang ‱ Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures. ‱ Experience with cloud-based (AWS, GCP, Azure) and bare-metal infrastructure ‱ Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...) ‱ Observability and monitoring tools (Prometheus, Grafana, Datadog
) ‱ Strong problem-solving abilities and attention to detail. ‱ Ownership mindset capable of shipping end-to-end features with minimal oversight.

đŸ–ïž Benefits

‱ healthcare coverage ‱ parental leave ‱ retirement plans ‱ relocation support ‱ wellness programs ‱ meal and transportation allowances ‱ other location-specific perks

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