Hyper Automation Engineer

Job Description: Responsibilities: Lead the end-to-end development lifecycle for complex business processes, focusing on RPA, Agentic AI, and Machine Learning (ML). Responsible for the design and development of solutions using core technologies such as UiPath, Google DocAI, Vertex AI Agent Builder, and Conversational/Generative AI. System Integration Vision - Implement complex agentic workflows integrated with key platforms and services, including: GCP services (Cloud Functions, Pub/Sub, Cloud Storage, and BigQuery); Observability tools (Langfuse); Enterprise applications (Salesforce and ServiceNow); and all external/internal systems via APIs and direct database connections. Collaboration and Leadership- Work closely with Operations and Business Units to identify and analyze complex processes, determining their optimal suitability for Agentic AI and automation. Furthermore, the role requires candidates to mentor and guide junior engineers and regularly conduct code reviews. Ensure adherence- Best practices toward development, coding standards, quality check and validations, technical documentation, performance optimization and continuous improvement. Recommended Qualification and Experience: Experience - 10+ years of overall IT experience, with 5+ years in development using UiPath, IDP and RAG. UiPath Advanced Developer Certification is recommended with strong understanding of REFramework, Orchestrator, and Studio Value Add Experience: Possesses prior experience in Python scripting, as well as experience with Salesforce and GCP (Google Cloud Platform. Proficient in system integrations utilizing technologies such as SQL, REST APIs, and Google Kubernetes Engine (GKE).

Created: 2026-03-04