Remote AI Engineer: LLMs, Autonomous Agents & Code Gen

Valiant Technologies LLC; Irving (TX); Remote; USD 86,000 - 123,000; Full time

Job summary

Valiant Technologies LLC seeks an AI Engineer in Irving, TX (Remote) to bridge software engineering with advanced AI. You will design, build, and deploy autonomous AI agents, integrate LLMs, and connect models via MCP while collaborating with product, data science, and frontend teams.

Proficiency in Java and Python, hands-on Google AI tooling, and experience with code generation are essential for this role.

Qualifications

• Strong proficiency in Java and Python with production-grade experience.
• Hands-on experience with Google ADK (or equivalents).
• Deep experience with Large Language Models (prompt engineering, fine-tuning, RAG).
• Experience building and orchestrating AI Agents (LangChain, LangGraph, or similar).
• Familiarity with MCP for AI tool integration and data source connections.
• Experience with AI-driven code generation and automation pipelines.

Responsibilities

• AI Agent Development: design, build, deploy autonomous agents.
• LLM Integration: embed LLMs into core products and services.
• MCP Implementation: securely connect models to data sources and tools.
• Automated Code Generation: leverage AI to assist or automate coding tasks.
• System Engineering: write scalable Java and Python backend code.
• Google Ecosystem Integration: use Google ADK and Vertex AI for deployment.
• Cross-Functional Collaboration: work with product managers, data scientists, and frontend engineers.

Skills

Java

Python

LLM integration

LangChain

MCP protocol

Code generation

Tools

Google ADK

Vertex AI

Gemini APIs

Docker

Kubernetes

Pinecone

Weaviate

Milvus

Job description

Valiant Technologies LLC seeks an AI Engineer in Irving, TX (Remote) to bridge software engineering with advanced AI. You will design, build, and deploy autonomous AI agents, integrate LLMs, and connect models via MCP while collaborating with product, data science, and frontend teams.

Proficiency in Java and Python, hands-on Google AI tooling, and experience with code generation are essential for this role.