Artificial Intelligence Engineer

Responsibilities

• Design, build, test, and deploy scalable and reliable AI-powered applications, with a primary focus on AI Agents.
• Collaborate closely with data scientists, product owners, and other engineers to translate concepts into production-grade software.
• Develop and maintain the full lifecycle of AI solutions, from data ingestion and processing to model deployment and monitoring.
• Implement and manage MLOps pipelines to ensure efficient and automated training, evaluation, and deployment of predictive algorithms.
• Write high-quality, maintainable, and well-tested code in languages such as Python, Java, or Node.js.
• Ensure the security, scalability, and observability of the AI systems you build within our cloud-native environment.
• Participate in code reviews, providing and receiving constructive feedback to maintain high engineering standards.
• Stay ahead of the latest advancements in AI, machine learning, and software engineering, and apply this knowledge to your work.

Requirements

• Proven experience in a software engineering role with a focus on building and deploying applications.
• Strong proficiency in at least one of the following programming languages: Python or the JavaScript runtime Node.js with Typescript.
• Proven understanding of software development principles, including experience in building scalable and observable solutions.
• Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS) and a strong grasp of cloud-native architectures.
• Experience with containerization technologies such as Docker and orchestration platforms like Kubernetes.
• A foundational understanding of concepts in artificial intelligence, including supervised and unsupervised learning, and the lifecycle of a machine learning project.
• Familiarity with emerging trends and technologies in AI, such as Generative AI, Large Language Models (LLMs), and Agentic AI architectures.
• Experience with Agile development methodologies and tools like Jira.
• Excellent problem-solving and analytical skills, proficient in resolving complex technical challenges.
• Strong communication and collaboration skills, proficient at working effectively in a team environment.