Uni Systems S.A. logo

LLM Engineer

Job Overview

Location

Remote

Job Type

Full-time

Category

Product Management

Date Posted

February 26, 2026

Full Job Description

đź“‹ Description

  • • Uni Systems S.A. is at the forefront of transforming digital visions into tangible realities, and we are experiencing continuous growth. We are actively seeking a highly skilled and motivated LLM Engineer to become an integral part of our UniQue Ispra team. This is a unique opportunity to engage directly with our esteemed clients within the public sector, playing a pivotal role in shaping and delivering cutting-edge AI solutions.
  • • In this dynamic role, you will be instrumental in driving new business development by proactively identifying lucrative opportunities that align with our strategic objectives and client needs. Your responsibilities will extend to meticulously maintaining and nurturing your client portfolio, fostering robust, long-lasting relationships built on trust and exceptional service delivery. A key aspect of your contribution will involve diligently monitoring the progress of projects, ensuring they not only meet but exceed client expectations, thereby providing excellent client service and delivering significant added value.
  • • As an LLM Engineer, you will be the technical backbone for our Large Language Model initiatives. Your primary focus will be on supporting and managing the entire end-to-end deployment lifecycle of LLM-based solutions. This encompasses all stages, from initial development and rigorous testing to seamless staging and finally, robust production deployment. You will be responsible for ensuring that our LLM applications are not only functional but also performant and reliable in real-world scenarios.
  • • A core responsibility will be the implementation and ongoing maintenance of scalable, containerized LLM deployments. This involves leveraging modern containerization technologies to ensure our solutions are portable, efficient, and can be easily scaled up or down based on demand. You will be adept at working with tools and platforms that facilitate the packaging and distribution of complex AI models.
  • • You will play a crucial role in building and managing robust CI/CD (Continuous Integration and Continuous Deployment) pipelines. Utilizing industry-standard tools such as GitHub and its associated ecosystem, you will automate the software delivery process, enabling faster, more frequent, and more reliable releases of our LLM applications. This includes setting up automated testing, build processes, and deployment strategies.
  • • Configuring, deploying, and managing workloads within Kubernetes environments will be a significant part of your day-to-day activities. You will possess a strong understanding of container orchestration and be able to effectively manage the lifecycle of applications running on Kubernetes, ensuring high availability and efficient resource utilization.
  • • Collaboration is key to our success. You will work closely with solution architects, senior engineers, and other stakeholders to translate high-level solution designs and architectural blueprints into production-ready systems. This involves understanding complex technical requirements and implementing them in a practical, scalable, and maintainable manner.
  • • A critical aspect of this role is the continuous monitoring, troubleshooting, and optimization of LLM performance in production environments. You will be proactive in identifying potential issues, diagnosing root causes, and implementing solutions to ensure optimal performance, low latency, and high throughput for our AI systems.
  • • Ensuring the reliability, scalability, and overall operational stability of our AI systems is paramount. You will implement best practices for system monitoring, alerting, and incident response to minimize downtime and maintain service integrity.
  • • Furthermore, you will actively contribute to the advancement of our DevOps culture and practices. This includes driving automation initiatives across various aspects of the LLM lifecycle, developing comprehensive documentation for deployed solutions and operational procedures, and championing DevOps best practices throughout the team and organization.
  • • You will be expected to stay abreast of the latest advancements in LLM technology, MLOps, and cloud-native architectures, bringing innovative ideas and solutions to the table. Your expertise will help us maintain a competitive edge and deliver state-of-the-art solutions to our public sector clients.
  • • This role offers a fantastic opportunity to make a tangible impact, working on challenging projects that have real-world implications and contribute to the digital transformation of public services. You will be part of a supportive and collaborative team that values innovation and continuous learning.

Skills & Technologies

Kubernetes
GitHub
Onsite

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About Uni Systems S.A.

Uni Systems is a leading IT solutions and services provider based in Greece. The company specializes in developing and implementing integrated information systems for both the public and private sectors. Their core business areas include digital transformation, cloud services, cybersecurity, and the development of custom software solutions. Uni Systems focuses on delivering innovative and reliable technology solutions that enhance operational efficiency and support the strategic goals of its clients across various industries such as finance, telecommunications, and public administration. They are committed to leveraging cutting-edge technologies to drive digital progress and provide high-value services.

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