Automation Engineer, Agentic Orchestration

An Automation Engineer with a focus on Agentic Orchestration focuses on seamlessly connecting AI capabilities, including orchestrated agent systems, with existing business processes and enterprise applications. This role will leverage modern AI tools and frameworks to build sophisticated automation solutions and create and configure AI agents to handle complex, non-repetitive tasks that require reasoning, context-awareness, and interaction with multiple systems. Our ultimate goal is to design and deploy autonomous agentic systems that can independently manage and execute complex business processes with a high degree of accuracy and efficiency.

What you'll be doing:

• Collaborate with business stakeholders to conduct in-depth analysis of existing workflows, identifying and documenting opportunities for intelligent, AI-driven automation.
• Oversee the entire lifecycle of AI agent development, from initial design and prototyping to testing, deployment, configuration, and lifecycle of AI solutions in production. 
• Ensure AI agent development security, scalability, and reliability through ongoing monitoring and performance tuning.
• Design and implement integration solutions to connect AI agents and models with enterprise systems such as CRMs, ERPs, and internal databases.
• Design and implement an evaluation system that serves as a mechanism for quality control and continuous improvement.
• Build and configure AI agents to perform tasks such as natural language understanding, data extraction, decision-making, and system interactions.
• Develop custom connectors, APIs, and middleware to facilitate data exchange and process automation between AI services and other applications.
• Continuously explore and evaluate new AI technologies and tools to drive innovation in automation.
• Mentor system admins and junior developers to build and configure AI Agents.

What you’ll bring to the table:

• Demonstrable experience with AI services from major cloud providers (e.g., OpenAI, Google Vertex AI, AWS Bedrock) and hands-on experience with LLM APIs.
• A solid understanding of business process analysis and re-engineering.
• Solid understanding of Natural Language Processing (NLP), LLMs, and ML principles.
• Experience with enterprise integration platforms (e.g., Workato, MuleSoft, Boomi).Experience with RPA platforms (e.g., UiPath, Automation Anywhere, Blue Prism) is a plus, but the focus is on modern AI-driven automation.
• Hands-on experience with conversational AI platforms and frameworks for building chatbots and virtual assistants.
• Proficiency in Python and its associated AI/ML libraries (e.g., LangChain, LlamaIndex, Pandas, TensorFlow, or PyTorch).
• A solid understanding of embedding processes, vector databases, RAG systems and knowledge graphs.
• Strong understanding of API design principles (REST, RPC, SSE, GraphQL) and data formats (JSON, XML).
• Familiarity with database technologies (SQL and NoSQL).A creative and  analytical mindset with  passion for solving complex problems through automation.
• Entrepreneurial approach, strong builder with excellent problem-solving skills and the ability to work effectively in a cross-functional team.
• Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience.