SeniorAgenticEngineer

**Job Description:** **Shift - 9:00 PM PHT - 6:00 AM PHT** **Role Summary** Build multi-agent systems that turn data intelligence into automated, client-facing workflows. You will design and implement agentic architectures that make measurement models, data pipelines, and media optimization tools accessible through natural interfaces. The goal: solutions that are cheap to build, cheap to run, and easy for non-technical teams to use. **Key Responsibilities** * Design and build multi-agent systems using LLM orchestration frameworks (LangChain, LangGraph, CrewAI, or custom) * Implement AI orchestration use cases for 4+ clients, focusing on low external dependency scenarios * Build agentic wrappers around existing data science models (MMM, forecasting, RBA, incrementality) so they can be queried and used conversationally * Set up and configure Genie spaces for client data exploration and self-service analytics * Develop tool-use patterns that connect agents to Databricks, Power BI, and other platform APIs * Write production-grade Python code with proper error handling, logging, and monitoring * Collaborate with Data Scientists to understand model inputs/outputs and build reliable agent interfaces * Participate in architecture reviews and contribute to the team's agentic design patterns and reusable components **Required Qualifications** * 5+ years of software engineering experience with strong Python skills * 2+ year hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks) * Experience with at least **one agent orchestration framework** (LangChain, LangGraph, AutoGen, CrewAI) * Understanding of API design, microservices, and event-driven architectures * Experience with cloud platforms (Azure preferred) * Familiarity with vector databases, embeddings, and retrieval-augmented generation patterns * Strong debugging and problem-solving skills in distributed systems * Comfort working in a fast-moving team that ships iteratively **P