Automation Engineer, Agentic Orchestration
Core
Designing and deploying autonomous agentic systems to independently manage and execute complex business processes by connecting AI capabilities with enterprise applications.
Role type
Automation Engineer (Agentic Orchestration)
Builds
Autonomous agentic systems, custom connectors, APIs, and middleware for enterprise integration.
Domain
Marketing Technology / AI-driven Automation / Enterprise Integration
Deliverable
production ML models | product features
Required skills
AI services (OpenAI, Google Vertex AI, AWS Bedrock), LLM APIs, Business process analysis, NLP, LLMs, ML principles, Enterprise integration platforms, RPA platforms, Conversational AI, Python, AI/ML libraries (LangChain, LlamaIndex, Pandas, TensorFlow, PyTorch), Embeddings, Vector databases, RAG systems, Knowledge graphs, API design (REST, RPC, SSE, GraphQL), JSON, XML, SQL, NoSQL.
Preferred skills
RPA platforms (UiPath, Automation Anywhere, Blue Prism).
Technologies
LangChain, LlamaIndex, Pandas, TensorFlow, PyTorch, Workato, MuleSoft, Boomi, UiPath, Automation Anywhere, Blue Prism, OpenAI, Google Vertex AI, AWS Bedrock.
Responsibilities
Analyze existing workflows for AI-driven automation opportunities; oversee the full lifecycle of AI agent development from design to production; ensure security, scalability, and reliability of AI agents; design integration solutions connecting AI agents with enterprise systems (CRMs, ERPs); build evaluation systems for quality control; develop custom connectors, APIs, and middleware; explore new AI technologies; mentor system admins and junior developers.
Seniority
Mid-Senior, hands-on IC
