The role focuses on designing multi-agent systems that transform data intelligence into automated, client-facing workflows accessible via natural language
Job Summary
The role focuses on designing multi-agent systems that transform data intelligence into automated, client-facing workflows accessible via natural language.
Candidates will implement AI orchestration for multiple clients while ensuring solutions are cost-effective to build and easy for non-technical teams to use.
The position requires collaborating with data scientists to build reliable agent interfaces around existing measurement models like MMM and forecasting.
Matching Summary
The role focuses on designing multi-agent systems that transform data intelligence into automated, client-facing workflows accessible via natural language.
Skills & Requirements
Must-have
5+ years software engineering experience
2+ years hands-on LLM building experience
Expertise in LangChain or LangGraph frameworks
Strong Python programming skills
Experience with API design and microservices
Knowledge of vector databases and RAG patterns
Nice-to-have
Experience with Databricks and Genie platforms
Background in media advertising or marketing tech
Familiarity with MLOps and model serving infrastructure
Open-source contributions demonstrating agentic AI work
Experience building conversational chatbot systems
Key Requirements
5+ years of software engineering experience
2+ years of hands-on LLM experience
Proficiency in Python and cloud platforms (Azure preferred)