What We're Looking For
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 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.
The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.
This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.
Factors Influencing Final Compensation
- The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.
- Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.