Onsite GCP AI Engineer — LLMs & Code Gen

Arkhya Tech Inc.; Irving (TX); Presencial; USD 100.000 - 145.000; Jornada completa

Descripción de la vacante

Arkhya Tech Inc. is seeking an innovative AI Engineer to bridge software engineering and cutting‑edge AI. You will design, build, and deploy autonomous AI agents, work with LLMs, and drive automated code generation initiatives using Java and Python.

You will integrate Google AI tools (Vertex AI, ADK) and implement the MCP to securely connect AI models with data sources and tools. Collaboration with product managers, data scientists, and frontend engineers is essential to translate business needs

Formación

• Proficient in Java and Python with production-grade software experience.
• Hands-on with Google AI tools and Vertex AI or similar.
• Deep experience with LLMs, prompt engineering and RAG.
• Experience building AI agents and orchestration workflows.
• Knowledge of MCP for standardized AI interactions.
• Experience leveraging AI for code generation and automation.

Responsabilidades

• AI Agent Development: design, build, deploy autonomous AI agents.
• LLM Integration: integrate LLMs into core products and services.
• MCP Implementation: connect AI models to data sources and tools.
• Automated Code Generation: build systems for code generation and testing.
• System Engineering: write scalable Java and Python for AI backend.
• Google Ecosystem Integration: use Google ADK and Vertex AI services.
• Cross-Functional Collaboration: work with product managers and data scientists.

Conocimientos

Java

Python

Google AI Tools

LLMs

Agentic Workflows

MCP Protocol

Code Generation

Herramientas

Google ADK

Descripción del empleo

Arkhya Tech Inc. is seeking an innovative AI Engineer to bridge software engineering and cutting‑edge AI. You will design, build, and deploy autonomous AI agents, work with LLMs, and drive automated code generation initiatives using Java and Python.

You will integrate Google AI tools (Vertex AI, ADK) and implement the MCP to securely connect AI models with data sources and tools. Collaboration with product managers, data scientists, and frontend engineers is essential to translate business needs