For this Job DeepSkyBlue is acting as a recruitment agency searching on behalf of our Cluj Based Customer

Client Overview

Global organization building data platforms and AI-powered capabilities for research, healthcare, and life sciences.

Overview

Role within an AI Engineering team focused on building scalable, reusable generative AI services and platform capabilities. The position combines platform architecture, backend engineering, and AI integration into production systems.

Responsibilities

• Lead architectural design and ensure technical consistency across services
• Design and develop reusable generative AI services and components
• Translate AI prototypes into production-ready systems
• Contribute to system design across multiple services and modules
• Define and promote engineering best practices (scalability, observability, CI/CD, testing)
• Work in Kubernetes environments to deploy scalable applications
• Collaborate with product, platform, and research teams
• Mentor engineers and contribute to engineering standards
• Participate in code reviews, architecture discussions, and cross-team initiatives

• Stay updated with generative AI developments and promote responsible adoption

Tech Stack & Requirements

• Python, Java
• Kubernetes (EKS), cloud-native architectures
• Backend systems and API development
• AI/LLM tools (e.g., LangChain, LangGraph)
• Data modeling and distributed systems

Nice to Have

• Experience building internal AI platforms
• Observability (metrics, logging, alerts)
• Knowledge graphs or semantic search systems

Must-Have Profile

• Senior engineer with strong platform and architecture experience
• Strong backend and AI integration knowledge
• Experience building scalable distributed systems
• Mentorship and cross-team collaboration experience

Interested? Submit your CV and Lets Talk!