Fullstack-Entwickler mit Schwerpunkt Frontend (m/w/d)

We are looking for brand ambassadors for our new fashion brand, interested in long-term collaboration. At HACOY we are making individuals feel comfortable with the clothing they wear, but more importantly; with themselves. Focused on home office wear, our collection presents clothing pieces that combine comfort and classic business style. Tasks Creation of authentic content on your preferred social media channel(s) Product samples testing Representing the brand at events Modeling for photo shootings Requirements home & remote office enthusiast active on social media Benefits Selected clothing pieces Additional Payments based on performance Invitation to brand events and trips Insights and possibility to give feedback on new designs Are you interested in becoming a representative of the brand? Reach out - we are looking forward to your message! Find Jobs in Germany on Arbeitnow

Veröffentlicht 1 Nov 2026

What we do MAIA is an AI platform for companies. With MAIA, teams search their internal data and embed agents deep into their processes. We help companies use AI not just in individual departments, but across the entire organisation. On a technical level, this means: we build a GenAI application with our own agent systems, RAG pipelines and agent-based workflows, connect our customers' external systems and analyse their data. We use the best available models, operated in the EU, and make them reliable for demanding work with large, complex datasets. Many industrial companies have been using MAIA intensively for years. Following our successful 2026 funding round, we are now taking MAIA to a broader market. MAIA has been developed in Leipzig since 2021. What you'll do As an AI Engineer, you develop MAIA further and help decide from the start how we solve problems. What you can work on: From concept to feature. Together with product management, you sharpen rough concepts and own features from prototype to continuous improvement based on feedback and usage data. Chat and agents. You shape how people work with MAIA: asking questions, providing context and letting agents complete multi-step tasks, with traceable progress and verifiable results. Unlocking company knowledge. You connect external systems and make knowledge from many different file formats usable. This way, MAIA finds the right passages, delivers answers with sources and respects existing access rights. Models and quality. You integrate new language models and compare quality, cost and speed. With evals, you detect errors and systematically improve answers and agents. Secure, fast and stable. You build isolated environments for running code and tools and improve response times and data processing, so that MAIA runs reliably even with large knowledge bases. What we're looking for Solid software engineering. You have built and shipped backend systems and operated them in production over a longer period. Archit…

Veröffentlicht 1 Nov 2026

What we do MAIA is an AI platform for companies. With MAIA, teams search their internal data and embed agents deep into their processes. We help companies use AI not just in individual departments, but across the entire organisation. On a technical level, this means: we build a GenAI application with our own agent systems, RAG pipelines and agent-based workflows, connect our customers' external systems and analyse their data. We use the best available models, operated in the EU, and make them reliable for demanding work with large, complex datasets. Many industrial companies have been using MAIA intensively for years. Following our successful 2026 funding round, we are now taking MAIA to a broader market. MAIA has been developed in Leipzig since 2021. What you'll do As a Software Engineer, you develop MAIA further and help decide from the start how we solve problems. What you can work on: From concept to feature. Together with product management, you sharpen rough concepts and own features from prototype to continuous improvement based on feedback and usage data. Chat and agents. You shape how people work with MAIA: asking questions, providing context and letting agents complete multi-step tasks, with traceable progress and verifiable results. Unlocking company knowledge. You connect external systems and make knowledge from many different file formats usable. This way, MAIA finds the right passages, delivers answers with sources and respects existing access rights. Models and quality. You integrate new language models and compare quality, cost and speed. With evals, you detect errors and systematically improve answers and agents. Secure, fast and stable. You build isolated environments for running code and tools and improve response times and data processing, so that MAIA runs reliably even with large knowledge bases. What we're looking for Solid software engineering. You have built and shipped backend systems and operated them in production over a longer period. A…

Veröffentlicht 1 Nov 2026