Senior AI Engineer

At Yora, engineers take ownership, shape technical direction, and build solutions that truly last. We work on high-impact projects across industries, from cloud-native platforms to AI-driven products. Our teams foster continuous learning, experimentation, and collaboration, giving engineers the autonomy and support to grow while delivering real-world impact. About the Role We’re looking for Senior AI Engineers who can turn AI and LLM research into production-grade systems. You’ll build scalable AI solutions, integrate models into applications via APIs, and deploy them on Azure or AWS . This role combines software engineering, AI/ML expertise, and cloud platform knowledge to create reliable and performant AI services. If you enjoy designing AI pipelines, integrating LLMs with LangChain, and collaborating with product, platform, and data teams, this is the role for you. What You’ll Do Build, deploy, and maintain production-grade AI and LLM systems Integrate models with applications and external APIs using LangChain or similar frameworks Design scalable AI pipelines and cloud-native architectures in Azure or AWS Ensure code quality, testing, monitoring, and performance of AI systems Implement MLOps best practices , CI/CD for AI pipelines, and automation of workflows Collaborate with Data Scientists, Product, and DevOps teams to deliver AI-driven features Optimize performance, reliability, cost, and observability of AI services What We’re Looking For Strong experience with Python for AI/ML production systems Hands-on experience deploying AI/LLM models in Azure or AWS Experience integrating LLMs via frameworks like LangChain Experience with cloud-native pipelines, containers (Docker/Kubernetes), and CI/CD for AI Strong understanding of API design and integration Experience with production monitoring, logging, and observability Collaborative, proactive, and able to mentor peers Fluent in English Nice to Have Experience with ML frameworks ( PyTorch, TensorFlow, scikit-learn ) Knowledge of MLOps tools (MLflow, Kubeflow, SageMaker) Familiarity with retrieval-augmented generation (RAG) pipelines Why Yora Yora is built on freedom, trust, and technical excellence. We prioritize competence over titles and long-term value over quick fixes. Our focus is on strong engineering craftsmanship, meaningful assignments, and giving our engineers the conditions they need to deliver high-quality work — without unnecessary bureaucracy. If you’re excited about building real-world AI solutions, deploying LLMs at scale, and shaping the future of AI in production, you’ll thrive here.