AI Engineer: Build Autonomous AI Agents & LLM Systems

Valiant Technologies LLC; Texas; Presencial; USD 78.000 - 112.000; Jornada completa

Descripción de la vacante

Valiant Technologies LLC in Irving, TX is seeking an AI Engineer to bridge software engineering with advanced AI. You will design, build, and deploy autonomous AI agents, integrate LLMs, and drive automated code generation initiatives using Java and Python.

Strong experience with Google AI tools and MCP is required, with collaboration across product, data science, and frontend teams to deliver robust AI solutions.

Formación

• Google AI Tools: Hands-on experience with Google Cloud AI/Vertex AI tools.
• LLM Expertise: Deep familiarity with prompt engineering, fine-tuning, RAG.
• Agentic Workflows: Experience building/orchestrating AI Agents (LangChain/ LangGraph).
• MCP Knowledge: Practical MCP experience for AI interactions with tools.
• Code Generation: Experience building pipelines for AI-assisted code generation.

Responsabilidades

• AI Agent Development: design, build, and deploy autonomous AI agents capable of reasoning and executing workflows.
• LLM Integration: integrate LLMs into products to enhance functionality.
• MCP Implementation: use MCP to securely connect AI models to data sources and tools.
• Automated Code Generation: leverage AI to automate code generation, testing, and optimization.
• System Engineering: write clean, scalable Java and Python code for AI backend.
• Google Ecosystem Integration: utilize Google AI tools and Vertex AI to deploy solutions.
• Cross-Functional Collaboration: work with PMs, data scientists, and frontend engineers to translate requirements into AI solutions.

Conocimientos

Google AI Tools

LLM Expertise

Agentic Workflows

MCP Protocol

Code Generation

Herramientas

Google ADK

Vertex AI

Gemini APIs

Descripción del empleo

Valiant Technologies LLC in Irving, TX is seeking an AI Engineer to bridge software engineering with advanced AI. You will design, build, and deploy autonomous AI agents, integrate LLMs, and drive automated code generation initiatives using Java and Python.

Strong experience with Google AI tools and MCP is required, with collaboration across product, data science, and frontend teams to deliver robust AI solutions.