Senior Agentic Automation Engineer

We are seeking a Senior Agentic Automation Engineer to design and deliver advanced AI-driven automation solutions. In this role, you will architect multi-agent systems, engineer robust integrations and translate complex agent behavior into clear business value for customers and stakeholders. Responsibilities Design multi-agent orchestration solutions including agent graphs, state management and agent-to-agent communication Develop advanced prompt engineering approaches with structured outputs, function/tool calling and multi-step reasoning Produce system/module designs, engineering diagrams and technical documentation Propose multiple solution options with clear trade-off analysis and justified recommendations Apply design patterns and explain non-functional requirements at the system level Implement CI/CD pipeline design, distributed tracing, structured logging and dashboarding Deploy containerized and serverless services with RESTful and event-driven API integration Conduct unit, component, integration and end-to-end testing for AI-backed services Lead and moderate project meetings and communicate directly with customers Translate complex agent behavior into clear business language for non-technical stakeholders Work independently while proactively identifying and resolving blockers Onboard new platforms, tools and skills quickly and efficiently apply them in delivery Requirements 3+ years of experience in software engineering and AI automation Understanding of LLM fundamentals including context windows, tokenization, attention and model limitations Proficiency with at least two agent frameworks and advanced RAG Proficiency in Python, JavaScript or C# or equivalent Hands-on experience with at least two cloud AI platforms such as Azure AI Foundry, AWS Bedrock or Google Vertex AI Familiarity with low code/no code AI workflow automation platforms Skills in Docker, Kubernetes or serverless deployment Proficiency with relational and vector databases Knowledge of SOLID, DRY and KISS principles and code quality metrics Experience with Scrum, Kanban or Waterfall and ability to describe trade-offs for a given project context English proficiency B2 or higher Nice to have Success story of convincing a customer to adopt a proposed technical solution Experience in conducting internal and external trainings and tech talks Troubleshooting success stories in complex AI/automation environments Experience creating end-to-end automated acceptance tests