The role focuses on building multi-agent systems that transform data intelligence into automated, client-facing workflows accessible through natural interfaces
Job Summary
The role focuses on building multi-agent systems that transform data intelligence into automated, client-facing workflows accessible through natural interfaces.
Candidates will implement AI orchestration use cases for multiple clients while ensuring solutions are cost-effective and easy for non-technical teams to use.
The position requires collaborating with data scientists to build reliable agent interfaces and participating in architecture reviews to establish reusable agentic design patterns.
Matching Summary
The role focuses on building multi-agent systems that transform data intelligence into automated, client-facing workflows accessible through natural interfaces.
Skills & Requirements
Must-have
5+ years software engineering experience
2+ years LLM and agent framework experience
Python programming and API design skills
Experience with LangChain or LangGraph
Cloud platform knowledge (Azure preferred)
Vector databases and RAG patterns
Nice-to-have
Experience with Databricks and Genie
Background in media or advertising tech
MLOps and model serving infrastructure
Open-source contributions in agentic AI
Conversational interface development
Key Requirements
5+ years of software engineering experience
2+ years hands-on experience with LLMs
Strong Python coding skills
Experience with agent orchestration frameworks
Understanding of microservices and event-driven architectures