Back to SearchSenior Agentic Automation Engineer
Hybrid in Georgia, & 4 others
Agentic Automation Engineering
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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