Artificial Intelligence Engineer

**Location:** Onsite in Tirana, Albania **About Arpya** Arpya is the cybersecurity division of **Global Technologies** —an established Italian IT firm trusted by industry leaders like **Reply, Accenture, IBM, Enel, and Axa** . We combine **startup agility** with **enterprise-grade credibility** , delivering **top-tier cybersecurity services** and **innovative products** that enable organizations to thrive securely in a fast-paced digital world. **About the Role** We are looking for an **AI Engineer** to join our engineering and AI infrastructure team. In this role, you will **build and maintain the critical systems and data pipelines** that power our AI-driven products and automation platforms. You will be responsible for **developing scalable data pipelines** , integrating AI into production environments, and ensuring reliable, high-performance execution of AI workloads at scale. This is a **hands-on engineering role** , working closely with data scientists, cybersecurity teams, and product teams to transform AI models into **production-ready systems** . **Key Responsibilities** - Design and build **end-to-end data pipelines** for high-volume data ingestion, transformation, and storage. - Ensure **pipeline reliability, scalability, and fault tolerance** in production environments. - Develop and maintain **API integrations** between AI systems and internal/external platforms. - Build **connectors and middleware** to support seamless system interoperability. - Integrate and orchestrate **LLM-based workflows** using frameworks such as LangChain, CrewAI, or AutoGen. - Implement **CI/CD pipelines** for automated deployment, versioning, and model lifecycle management. - Deploy and manage **self-hosted LLMs** using Ollama, vLLM, or Hugging Face Inference. - Containerize applications using **Docker** and manage deployments with **Kubernetes** . - Configure **monitoring, logging, and alerting** to track infrastructure health and model performance. **Requirements** **Must-Have** **Education & Experience** - Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI/ML, or related field. - **3+ years** in backend or **data engineering** roles. - **2+ years** working with **AI/ML systems** . **Technical Skills** - Strong programming skills in **Python** (FastAPI, Django) and **JavaScript** (Node.js, Express). - Experience building pipelines using **Apache Airflow** or **Prefect** . - Proficiency with **Docker** ; Kubernetes experience is a plus. - Experience working with **Google Cloud Platform** or similar cloud environments. **AIOps & AI Integration** - Familiarity with **agentic AI frameworks** (LangChain, LlamaIndex). - Experience deploying models using **Ollama, vLLM, and Hugging Face** . - Understanding of **CI/CD pipelines** (GitHub Actions, GitLab CI, Jenkins). **Data & Monitoring** - Experience designing and consuming **REST APIs** and working with **JSON** data. - Knowledge of database and data storage best practices. - Ability to handle high-volume streaming data and optimize performance. - Experience with **monitoring tools** (Prometheus, Grafana, ELK). **Communication** - Ability to collaborate with cross-functional technical teams. - Clear technical communication and documentation skills. - English proficiency (B2+). Italian is a plus. **What We Offer** - Work in a high-impact environment developing **real-world AI systems** . - Collaboration with experienced AI engineers, cloud architects, and cybersecurity professionals. - Access to modern infrastructure, compute environments, and AI platforms. - Professional growth opportunities as we scale our AI capabilities. - Competitive salary and structured career progression. Burimi: https://al.linkedin.com/jobs/view/artificial-intelligence-engineer-at-arpya-4337383200

Niveli: mid level