Mission
This role is focused on helping scale enterprise-wide Agentic AI capabilities, translating AI concepts into real, production-ready solutions. The goal is to build and integrate intelligent workflows and agents that leverage existing data infrastructure, enabling more efficient, automated decision-making across the organization. This person will sit at the intersection of AI engineering and data, ensuring models and agents are not just built—but effectively deployed and integrated within enterprise systems.
Day-to-Day
- Develop AI solutions using Python and modern AI frameworks
- Build and implement agentic AI capabilities across the enterprise
- Work with tools such as LangChain / LangGraph and Google ADK
- Support data pipelines and integrations aligned with AI use cases
- Collaborate with engineering and data teams to deliver scalable solutions
Must Haves
- Python
- Experience with Google ADK
- LangChain / LangGraph
- Strong data engineering background
- Advanced SQL
- ETL concepts
- 3–4 years of relevant experience
Plusses
- Experience with Agentic AI (enterprise-wide applications) is important
- Devin experience is a plus
Skills: concepts,data infrastructure,advanced,etl,decision-making,advanced sql,google,adk,data,enterprise,agents,python
