Artificial Intelligence Engineer

Artificial Intelligence Engineer Cor•Gramado, Rio Grande do Sul, Brazil Overview We are seeking an experienced AI Engineer to design, develop, and deploy scalable artificial intelligence and machine learning solutions. The role requires strong backend engineering skills with Go (Golang) and hands‑on experience building production‑grade AI systems. Responsibilities Design, develop, and maintain AI / ML solutions for business use cases Build and maintain high-performance backend services using Go (Golang) Deploy, integrate, and optimize machine learning models in production environments Collaborate with data scientists and engineers to translate models into scalable services Develop APIs and microservices for AI-powered applications Monitor model performance and system reliability in production Ensure code quality through testing, reviews, and documentation Optimize system performance, scalability, and reliability Mandatory Qualifications Strong hands‑on experience with Go (Golang) – mandatory Strong experience with Python – mandatory Familiarity with cloud platforms (such as AWS, GCP, or Azure and Digital Ocean) Proven experience as an AI Engineer, Machine Learning Engineer, or similar role Solid understanding of machine learning algorithms and AI fundamentals Experience working with Python‑based ML frameworks (TensorFlow, PyTorch, Scikit‑learn) Experience deploying ML models to production systems Strong knowledge of REST APIs, microservices, and distributed systems Experience with cloud platforms (AWS, GCP, or Azure) Preferred Qualifications Experience with MLOps tools and workflows Familiarity with Docker, Kubernetes, and CI / CD pipelines Experience with NLP, Computer Vision, or Generative AI models Knowledge of data engineering concepts and pipelines Experience with SQL and NoSQL databases Required Skills Go (Golang) Paython Machine Learning & AI Python API & Microservices Architecture Cloud Computing Problem Solving & Debugging Education Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience) #J-18808-Ljbffr