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GCP Agentic AI Developers
Apolis
- 🇺🇸 United States
- On-site
- Staff / Principal
- 2 days ago
- $60 – $61 / hour
- GCP
- Machine Learning
- Vertex AI
- AI
- RAG
- Vector Search
- MCP
- CI/CD
- MLOps
- AI/ML
- Agile
- Gemini
- Python
- Java
- C#
- Node.js
- SQL
- NoSQL
- Cosmos DB
- MongoDB
- Dataflow
- Pub/Sub
- Docker
- Kubernetes
- Microservices
- Devops
- LangChain
- Model Context Protocol
- CRM
- ERP
- EMR
- EHR
2 days ago
Work site: Nashville, US (Onsite)
Staff Agentic AI Engineer
Role Summary
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.
Key Responsibilities
- 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.
**Required Skills & Experience**
- 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**.
GCP Agentic AI Developers · Apolis