Senior Backend Engineer – AI, Machine Learning

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AfterNow

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2016

🥽 RA/RV

☁️ SaaS

📚 Éducation

AR/VR • SaaS • Education

AfterNow est une plateforme de présentation 3D axée sur la réalité augmentée (AR) et la réalité virtuelle (VR) qui aide les écoles et les entreprises à créer des présentations immersives sans code. L'entreprise offre une interface glisser-déposer, des ressources 3D prêtes à l'emploi et une expérience utilisateur fluide pour des cas d'utilisation tels que les réunions à enjeux importants, la formation, les ventes, les salons professionnels, l'éducation et les expositions/musées. AfterNow se positionne également comme partenaire Oculus Launch Pad et Microsoft Mixed Reality, et organise des ateliers pour enseigner aux utilisateurs non techniques comment créer des présentations AR/VR.

Description

• Design, implement, and deploy machine learning features in production environments • Build reliable data pipelines for processing, transforming, and preparing data for ML models, analytics, and intelligent product features • Create internal (gRPC) and external (REST) APIs that allow AI/ML services to be consumed by other applications and systems • Support experimentation, validation, monitoring, and continuous improvement of ML models and AI-driven features • Ensure that ML-powered features are reliable, performant, maintainable, and built to scale • Work closely with product managers, backend engineers, frontend engineers, QA, and design teams to define, refine, and deliver intelligent product experiences • Own AI and ML capabilities from technical discovery and prototyping through production deployment, monitoring, maintenance, and iteration • Work with DevOps and backend teams to deploy, monitor, and scale ML-powered services in AWS cloud environments • Use coding agents and AI development tools to improve development speed, testing, documentation, and code quality, while remaining accountable for architecture, security, reliability, and production outcomes • Develop and maintain dedicated AI/ML services, primarily using Python and modern backend engineering practices • Integrate, serve, and maintain ML models within scalable backend systems and microservices architectures • Define evaluation criteria, test datasets, monitoring, tracing, and quality metrics for AI-powered features • Identify failure modes and implement appropriate safeguards and fallback behaviour

🎯 Exigences

• 5+ years of backend development experience with Python & preferably Java Spring Boot • Strong hands-on experience with Python and common ML/data libraries and frameworks • Experience building and deploying production-grade machine learning features, not only experiments or notebooks • Solid understanding of data pipelines, model serving, APIs, and backend system integration • Experience with MLOps tools and workflows, cloud infrastructure, preferably AWS • Familiarity with microservices architecture and modern backend engineering practices in Java • Understanding of ML lifecycle concepts such as training, evaluation, deployment, monitoring, and iteration • Experience with databases, data processing, and structured/unstructured data • Familiarity with NLP, RAG, LLMs, recommendation systems, prediction models, vector databases, embeddings, agentic AI systems, tool calling, workflow orchestration, or other applied AI/ML domains is a strong plus • Ability to translate complex data and ML concepts into practical, usable product features • Strong problem-solving skills and a pragmatic engineering mindset • Hands-on experience using AI coding tools or agents as part of a professional software development workflow • Experience evaluating AI or ML systems using automated tests, offline evaluations, production metrics, and human feedback • Clear communication skills and the ability to collaborate with technical and non-technical stakeholders • Languages: Fluent in English to seamlessly integrate with our international team and clientele. Since the product is focused on the Latin American market, being Spanish-speaking is an advantage.

🏖️ Avantages

• Flexibility • Remote work & Tooling • Culture • Autonomy and responsibility