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A pioneering startup specializing in AI solutions seeks an experienced AI Engineer to develop and enhance their Private AI platform. This role emphasizes the deployment and optimization of AI systems in controlled environments, focusing on performance and security. With a diverse, inclusive culture, the startup welcomes talent from all backgrounds, offering a fully remote work environment within Europe.
Zylon ( transforms company knowledge into immediate productivity gains through a secure, private AI workspace. Our on-premise deployment ensures complete data sovereignty, cost control, and full customization by running local AI models with no vendor lock-in.
As creators and maintainers of the popular open-source project PrivateGPT ( with more than 55K Github stars, we are committed to leveraging the latest AI technologies to drive innovation and deliver exceptional value to our customers.
As an early-stage startup serving clients in financial, manufacturing, engineering, and other regulated industries, we're looking for talented individuals to help drive our growth in a company where we celebrate diversity and are committed to creating an inclusive environment for all employees.
We're seeking an experienced AI Engineer to join our team and play a crucial role in developing and enhancing our Private AI platform. You'll work on the whole AI stack, ranging from the GPU management and inference server, to leveraging and optimizing open-source AI models for on-premise bare metal deployments where we have complete control of the data pipeline and the agentic system running on top of it. All of this while ensuring high performance and security for our enterprise clients in regulated industries.
Design, develop, and deploy AI systems that can run efficiently in on-premise environments with local models, without depending on 3rd parties like OpenAI, Amazon Bedrock, etc.
Optimize Small Language Models (SLMs) for private deployments with attention to performance and resource constraints.
Implement advanced prompt engineering techniques and secure data processing pipelines for knowledge extraction and transformation.
Research, design and implement agentic strategies to improve AI model interaction and user experience.
Work together with the Product & Engineering teams, actively participating not only in the implementation but also in the product definition, prioritization, scoping, and validation.
5+ years of experience in software or / and AI engineering roles with special focus on GenAI for the last 2 years
Experience with on-premise deployment of AI systems.
Proficient in Python and relevant ML / AI frameworks (PyTorch, LlamaIndex, LangChain, etc.)
Experience with vector databases and efficient retrieval systems
Knowledge of containerization and deployment technologies (Docker, Kubernetes)
Excellent English communication skills and ability to collaborate effectively with cross-functional teams
Experience in startups or early-stage companies
Background in working with financial, manufacturing, or engineering domains
Full-remote position, within Europe