Automation Engineer, Agentic Orchestration

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. The Automation Engineer with a focus on Agentic Orchestration will connect AI capabilities with business processes, leveraging modern AI tools to build automation solutions and design autonomous systems for managing complex tasks.

Responsibilities:

• 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

Requirements:

• 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