Our Customer: A product-oriented technology company building AI-powered automation solutions for real-time operational processes and intelligent decision-making systems. Your tasks: * Develop and maintain AI agent workflows for automated data analysis and operational actions. * Build LLM-based solutions including RAG pipelines, tool integrations, and structured response generation. * Create monitoring, evaluation, and validation processes for AI systems in production. * Integrate AI services with backend systems, APIs, and streaming data pipelines. * Collaborate with Product and Engineering teams to implement business logic into AI-driven solutions. * Improve reliability, scalability, and performance of AI and ML components. * Participate in deployment, testing, and optimization of production AI applications.
Required experience and skills: * 3+ years of experience in Data Science, Machine Learning, or AI Engineering. * Solid understanding of Machine Learning fundamentals and model evaluation approaches. * Strong practical experience with GenAI and LLM-based applications in production environments. * Hands-on experience building AI agents, multi-step workflows, or orchestration pipelines. * Experience with prompt evaluation, monitoring, testing, and observability of AI systems. * Strong Python programming skills. * Experience working with modern LLM platforms and APIs such as OpenAI, Anthropic, Google, or Microsoft. * Experience integrating AI solutions with external tools, APIs, or backend services. * Ability to work independently and take ownership of technical solutions. * English level — Upper-Intermediate (B2) or higher.
Would be a plus: * Experience with cloud platforms, especially Microsoft Azure AI services. * Knowledge of vector databases and retrieval systems. * Experience with real-time or streaming data platforms. * Background in logistics, IoT, or operational analytics domains. * Familiarity with MLOps and CI/CD practices for AI systems.
