Job Title: Senior Agentic Platform Engineer / AI ML Senior Engineer
Location: Austin, TX 78753 - Onsite
Duration: 6-12 Months
Must Have:
- Data Engineering
- Comfortable in Gen AI and Agentic AI.
- Should be able to create MCP from scratch
- Should be comfortable in CREATING AGENTS
- Experience in implementing KNOWLEDGE GRAPH
Role Overview: Senior Agentic Platform Engineer to act as the lead architect and hands-on contributor for the Intelligence Layer. The role focuses on building production-ready agentic AI systems, integrating multi-agent orchestration with enterprise knowledge graphs and trusted data platforms.
Key Responsibilities
- Design and implement multi-agent architectures using LangGraph, including stateful workflows and Human-in-the-Loop checkpoints.
- Develop ontology-to-schema pipelines mapping enterprise ontologies (OWL / SKOS) into TigerGraph.
- Build and optimise graph-based intelligence using TigerGraph and GSQL.
- Materialise trusted data products in Snowflake using dbt, including Data Quality and trust-score automation.
- Develop internal and external AI agents supporting Data Operations and governed insights.
- Support CI/CD pipelines and production deployment for agentic AI systems.
Key Skill Set (Filtering Criteria)
- Python (FastAPI, async programming) - Mandatory.
- Advanced SQL - Mandatory.
- LangGraph / LangChain for agent orchestration.
- TigerGraph and GSQL development.
- Snowflake and dbt (Data Quality, analytics engineering).
- Enterprise knowledge modelling (OWL / SKOS / RDF).
- Strong communication and ability to work independently.