LangChain Jobs in Austria

In this role, you will develop practical AI applications, train and optimize machine learning models, implement generative AI solutions, and integrate them into existing systems.

In this role, you will design practical training courses and materials on AI, Machine Learning, and Data Science, mentor learners, and evaluate new technologies for integration into training programs.

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 develop AI and data solutions from the data foundation to cloud implementation, specializing in either AI/ML Engineering, Data Analytics, or Cloud Platforms.

In this role, you will develop end-to-end AI use cases and work on AI and data solutions that you implement in modern cloud environments, focusing on Engineering, Analytics, or Platforms according to your preference.

In this role, you will develop AI-driven solutions such as predictions and anomaly detection focusing on LLMs, RAG, and chatbots, integrating with existing systems and delivering scalable services.

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 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 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 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.