Darum lohnt es sich
Requirements 8+ years of software development experience Bachelor’s or master’s degree in Computer Science or a related field Experience delivering production AI/ML systems, including LLM-powered applications and agentic xayajpt workflows Experience with modern agent frameworks, retrieval architectures and AI system evaluation practices Hands-on experience using AI coding assistants and developer tools within engineering workflows Experience with Amazon Web Services, event-driven architecture, Docker, Kubernetes and containerized deployments Experience within Real Estate, Financial Services or Capital Markets environments preferred Responsibilities Design, build and maintain agentic workflows that support business-critical processes and operational efficiency Contribute to Atlas by authoring reusable skills, maintaining agent definitions and improving the context and evaluation infrastructure that supports scalable AI adoption Establish evaluation, observability and reliability standards for agentic systems, including regression testing, tracing and guardrail implementation Collaborate with Product Management, Product Design and business stakeholders to translate complex requirements into scalable technical solutions Own features end-to-end, including architecture, development, testing, deployment and ongoing iteration Drive continuous improvement across the engineering stack, including performance optimization, reliability, testing and CI/CD practices Mentor engineers and contribute to a culture of engineering excellence, accountability and responsible AI usage Support architectural discussions and technical decision-making across AI and platform engineering initiatives Perform other duties as assigned.
