2+ years hands-on llm and agent framework experience
Experience with langchain, langgraph, or crewai
The role focuses on building multi-agent systems that transform data intelligence into automated, client-facing workflows accessible via natural language
Job Summary
The role focuses on building 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 and easy for non-technical teams to use.
The position requires collaboration with data scientists to build reliable agent interfaces and participate in architecture reviews for reusable components.
Matching Summary
The role focuses on building multi-agent systems that transform data intelligence into automated, client-facing workflows accessible via natural language.
Skills & Requirements
Must-have
5+ years Python software engineering experience
2+ years hands-on LLM and agent framework experience
Experience with LangChain, LangGraph, or CrewAI
Proficiency in API design and microservices architecture
Cloud platform experience with Azure preferred
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 interfaces