Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience in designing and implementing AI and machine learning systems, preferably in data infrastructure and analytics.
Strong programming skills, particularly in Python, with experience in using open-source AI frameworks and tools.
Experience with deploying AI solutions in customer-controlled environments, ensuring data security and compliance with audit trails.
Excellent problem-solving abilities with a collaborative mindset, aligning with our values of teamwork, innovation, and ownership.
Benefits
Career TrainingCompany laptopCompany stock optionsFree beveragesFree snacksPublic transportation benefitsSport membershipJoin Lokalaise as a Founding AI Engineer to shape groundbreaking local AI solutions. Collaborate closely in a Hamburg-based startup directly impacting real-world deployments. Elevate your career with us.Find Jobs in Germany on Arbeitnow
Additional Information
Lokalaise builds local AI infrastructure for companies that cannot move sensitive knowledge into cloud AI systems.
We deploy AI inside customer-controlled environments and connect it to file servers, SharePoint, Outlook, project folders, technical documents and internal knowledge bases. Our stack combines local inference, secure connectors, permission-aware retrieval, citations and audit trails.
We are a small founder-led team in Hamburg with live customer deployments. As a Founding Full Stack Engineer, you will work directly with the founders and help turn early deployments into a repeatable product. This is an office-first, hands-on role for someone who wants to build core product and infrastructure from the ground up.
Tasks
Develop and implement AI models for local inference that integrate seamlessly with customer-controlled environments, ensuring data privacy and security.
Design and build secure connectors to interface with existing systems such as file servers, SharePoint, Outlook, and internal knowledge bases, facilitating efficient data retrieval and processing.
Collaborate with the team to refine and enhance the company's platform, focusing on permission-aware retrieval, citations, and audit trail capabilities.
Engage directly with customers to gather feedback, troubleshoot deployment issues, and iterate on solutions to meet evolving business needs.
Contribute to shaping the engineering culture of the company by embracing values of accountability, innovation, and teamwork, while fostering a learning environment.
Lokalaise · Hamburg, Germany