AI Engineer

The role of AI Engineer at Hero in Lenzburg, Switzerland, involves developing and enhancing the company's Agentic AI Platform. Hero is a family-owned company with a long history, focusing on tradition, innovation, and quality. The company emphasizes a culture of curiosity, teamwork, and sustainability. The main day-to-day responsibilities include designing and building the AI Platform, creating reusable capabilities for agent orchestration, and managing tools and models. The engineer will also develop the MCP Gateway, which serves as the entry point for AI solutions to enterprise data and tools. Additionally, the role involves building Hero's AI Knowledge Base on Azure, integrating AI solutions with various systems, and establishing an observability layer to track AI performance and compliance. To qualify for this role, candidates must have a degree in computer science, software engineering, applied mathematics, or a related field, along with at least five years of software engineering experience. At least two of those years must be in building GenAI or LLM applications in production. Experience with agentic frameworks and the Model Context Protocol is essential, as is proficiency in Python. Practical knowledge of Microsoft Azure technologies and experience with Snowflake, SQL, and dbt are also required. Nice-to-have skills include experience with TypeScript or C#, AWS Bedrock, and a strong background in DevOps and observability. The role offers a hybrid work environment with flexible hours, excellent social benefits, and a modern working environment. The team is collaborative, with flat hierarchies and a focus on innovation and quality. What the role asks for: - Degree in computer science, software engineering, applied mathematics, or related field. - Five years of software engineering experience. - Two years of experience building GenAI or LLM applications in production. - Experience with agentic frameworks and the Model Context Protocol. - Proficiency in Python. - Practical knowledge of Microsoft Azure technologies. - Experience with Snowflake, SQL, and dbt. - Nice-to-have: Experience with TypeScript or C#. - Nice-to-have: Experience with AWS Bedrock.