(Summary generated by AI based on the full job description)
The project focuses on building and deploying enterprise-scale AI solutions. Core stack includes Python, Generative AI and agentic frameworks (LangChain, LangGraph), containerization and orchestration (Docker, Kubernetes), messaging (Kafka), API management (Apigee), MLOps and CI/CD (GitLab CI, Azure Pipelines, MLflow, Seldon) and observability tools (Arize). Responsibilities cover designing and implementing production-grade GenAI and agent capabilities, translating high-level designs into technical components, building scalable services, automating deployments and monitoring, removing technical blockers, and participating in technical decisions and Agile ceremonies. Benefits include Medicover medical and dental care, sport card, life insurance, structured development and certification program. Required at least 8 years experience and familiarity with security and compliance standards (e.g. ISO 27001, GDPR).




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