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Job description

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.

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