Senior Agentic Engineer

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 teams 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

Preferred Qualifications

• Experience with Databricks and/or Genie

• Background in media advertising or marketing technology

• Experience building conversational interfaces or chatbot systems

• Familiarity with MLOps practices and model serving infrastructure

• Open-source contributions or personal projects demonstrating agentic AI work

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