LangChain Jobs in Austria

In this role, you will define the target architecture for data and AI, implement standards for reusable models, and lead tool selection processes to build a scalable and compliant infrastructure.

In this role, you will develop new features for our digital platform using TypeScript, NodeJS, or Python, as well as GraphQL and REST, while also supporting the CI/CD process to enhance product quality.

In this role, you will analyze business requirements, design comprehensive Generative AI solution architectures, and manage multiple initiatives while guiding teams in implementing and optimizing GenAI applications.

In this role, you will develop backend solutions for Generative AI products, implement Python applications, analyze time-series data, and optimize ML models to create modern software solutions for various applications.

In this role, you develop AI applications using foundation models, consult clients on complex issues, and conduct technology evaluations, always aligning with regulatory requirements.

In this role, you will develop advanced AI and data architectures, implement innovative data solutions, and integrate modern technologies into existing systems to create sustainable value.

In this role, you will independently develop a React frontend, create Python backend services, and manage complex data pipelines using modern cloud technologies and advanced data processing.

In this role, you will take end-to-end ownership of ML/AI applications, optimize RAG, and establish LLMOps while collaborating closely with business partners and implementing evaluation frameworks.

In this role, you develop ML/AI systems and orchestrate LLMs with agent frameworks while implementing RAG, establishing LLMOps, and conducting evaluations to optimize performance and costs.

In this role, you develop LLMs and agentic applications, implement AI solutions using modern frameworks, optimize ML pipelines, and integrate AI functions into production systems.

You design and implement Microsoft agents using Copilot Studio and Azure AI, define architecture, prompt design and RAG-based solutions, and integrate LLMs via Graph API, Power Platform and vector databases for semantic search.

In this role you develop AI strategy from use‑case to production, design LLM architectures, build Copilot agents, chatbots and semantic search, integrate with Dynamics, SharePoint and APIs, and secure data flows.

In this role, you will develop autonomous AI agents for process automation and optimize energy efficiency and supply chains through data analysis, while building data pipelines for heterogeneous sources.