> Markdown version of [/jobs/ext/3600574-gcp-agentic-ai-developer](https://www.wearedevelopers.com/jobs/ext/3600574-gcp-agentic-ai-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# GCP Agentic AI Developer

- **Company:** Net2Source
- **Location:** Nashville, TN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, C Sharp (Programming Language), Cloud Engineering, Continuous Integration, DevOps, Data Flow Control, Python (Programming Language), Enterprise Messaging Systems, Microsoft SQL Server, MongoDB, Node.Js, NoSQL, Cloudera, Search Technologies, SQL Databases, Google Cloud, Data Ingestion, EHR Systems, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Agentic-AI, Kubernetes, Apache Kafka, Cosmos DB, Machine Learning Operations, Google Gemini, Model Context Protocol, Data Pipelines, Serverless Computing, Docker, Microservices
- **Published:** October 7, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=fyjdnwkqny26xqof9rceu6y6gam6750308agqi8uui1cmk3v9j6duy26aoewnusi&compid=0/jobs/29419961#/jobs/29419961

## About the Role

Hands-on experience with **Vertex AI** and generative models (e.g., Gemini).

 - Strong experience designing and delivering **RAG architectures** in production.
 - Experience with **vector databases**, embeddings, and data grounding techniques.
 - Proficiency in **Python** and at least one of: Java, C#, or Node.js.
 - Experience with **SQL and NoSQL databases** (e.g., SQL Server, Cosmos DB, MongoDB).
 - Experience with **data pipelines and messaging systems** (e.g., Dataflow, Dataproc, Pub/Sub, Kafka).
 - Strong background in **cloud-native architectures**, Docker, Kubernetes, and microservices.
 - Experience with **DevOps and CI/CD for ML/MLOps**.
 - Strong communication, problem-solving, and technical leadership skills.

**Preferred Qualifications**

 - Experience with **Agentic AI frameworks** (e.g., LangChain).
 - Familiarity with **Model Context Protocol (MCP)** or similar LLM tool-integration approaches.
 - Experience integrating AI solutions with **CRM, ERP, eCommerce, or EMR/EHR systems**.

## Description

The Staff Agentic AI Engineer leads the design and delivery of enterprise-grade Generative AI and Agentic AI solutions on **Google Cloud Platform (GCP)**, with a primary focus on **Vertex AI**. This role emphasizes production-ready AI systems, including **Retrieval-Augmented Generation (RAG)**, grounding, embeddings, and autonomous agent architectures, while providing technical leadership and mentorship., Design, build, and deploy scalable Generative AI solutions on GCP using Vertex AI.

 - Architect and implement RAG systems, including data ingestion, embeddings, vector search, and retrieval pipelines.
 - Design grounding and embedding strategies to improve response accuracy and factuality.
 - Develop Agentic AI and multi-agent systems for autonomous task execution.
 - Integrate LLMs with external tools, services, and enterprise systems using structured interaction patterns (e.g., MCP).
 - Build and manage cloud-native, containerized, and serverless AI workloads.
 - Establish CI/CD pipelines and MLOps practices for AI/ML systems.
 - Collaborate with product, business, and engineering stakeholders to translate requirements into AI solutions.
 - Lead technical design reviews, investigations, PoCs, and solution proposals.
 - Mentor engineers and promote best practices in AI engineering and Agile delivery.