Compugra Systems
Google Cloud Platform AI Engineer
Irving, Texas, USA · Junior · contract, third party
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About the role
- LLM Integration: Integrate cutting-edge Large Language Models (LLMs) into our core products and services to enhance functionality and user experience.
- Model Context Protocol (MCP) Implementation: Utilize the Model Context Protocol (MCP) to securely connect our AI models to various data sources, tools, and development environments.
- Google Ecosystem Integration: Utilize Google ADK (AI Developer Kits) and related Google Cloud AI services (e.g., Vertex AI, Gemini APIs) to deploy robust AI solutions.
Requirements
- Programming Languages: Strong proficiency in both Java and Python, with a proven track record of building production-grade software.
- Strong proficiency in both Java and Python, with a proven track record of building production-grade software.
Skills
- Cloud Platform AI Engineer Location:
- Irving, TX, or Charlotte (100% Onsite) 1+ Year Have a strong foundation in Java and Python, coupled with hands-on experience using
- Google's AI tools AI Agent Development:
- LLM Integration:
- Integrate cutting-edge Large Language Models (LLMs) into our core products and services to enhance functionality and user experience.
- Model Context Protocol (MCP) Implementation:
- Utilize the Model Context Protocol (MCP) to securely connect our AI models to various data sources, tools, and development environments.
- Automated Code Generation:
- System Engineering:
- Google Ecosystem Integration:
- Utilize Google ADK (AI Developer Kits) and related Google Cloud AI services (e.g., Vertex AI, Gemini APIs) to deploy robust AI solutions.
This listing is sourced directly from Compugra Systems's careers page and normalized into a canonical job model.