Back to Search
Senior Agentic Automation Engineer
Hybrid in Georgia, & 4 others
Agentic Automation Engineering
apply
FacebookLinkedInSend via email
Looking for something else?
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
Location-specific conditions & benefits*
Choose an option
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