AI Engineer

Ethereum Technologies; Irving (TX); On-site; USD 78,000 - 112,000; Full time

Job summary

Ethereum Technologies in Irving, TX is seeking an innovative AI Engineer to bridge traditional software engineering and advanced artificial intelligence. You will design, build, and deploy autonomous AI agents, work closely with Large Language Models, and drive automated code generation initiatives to accelerate product development.

You should have strong Java and Python skills, hands-on experience with Google's AI tools, and the ability to collaborate across product, data science, and frontend

Qualifications

• Google AI Tools: Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tools).
• LLM Expertise: Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architectures).
• Agentic Workflows: Demonstrable experience in building and orchestrating AI Agents (using frameworks like LangChain, LangGraph, or custom implementations).
• MCP Knowledge: Familiarity and practical experience with the Model Context Protocol (MCP) for standardizing AI interactions with external tools.
• Code Generation: Experience in leveraging AI tools or building pipelines specifically for code generation and software automation.

Responsibilities

• AI Agent Development: Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows.
• 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: Leverage AI and LLMs to build systems that assist in, or fully automate, code generation, testing, and optimization processes.
• System Engineering: Write clean, scalable, and maintainable code in both Java and Python to support AI backend infrastructure.
• 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.
• Cross-Functional Collaboration: Work closely with product managers, data scientists, and frontend engineers to translate business requirements into technical AI solutions.

Skills

LLM expertise

Agentic workflows

Prompt engineering

Tools

Google ADK / Google Cloud AI tools

Vertex AI

LangChain / LangGraph

Model Context Protocol (MCP)

RAG architectures

Code generation pipelines

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI Engineer
Location:Iriving, TX
Duration: 11Months + Extension
Bill Rate: $69/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Job Summary:
We are seeking an innovative and highly skilled AI Engineer to join our dynamic team. The ideal candidate will bridge the gap between traditional software engineering and cutting-edge artificial intelligence. You will be instrumental in designing, building, and deploying advanced AI agents, working closely with Large Language Models (LLMs), and driving automated code generation initiatives. If you have a strong foundation in Java and Python, coupled with hands-on experience using Google's AI tools, we want you to help us build the next generation of intelligent applications

Key Responsibilities:

• AI Agent Development:Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows.
• 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:Leverage AI and LLMs to build systems that assist in, or fully automate, code generation, testing, and optimization processes.
• System Engineering:Write clean, scalable, and maintainable code in both Java and Python to support AI backend infrastructure.
• 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.
• Cross-Functional Collaboration:Work closely with product managers, data scientists, and frontend engineers to translate business requirements into technical AI solutions.

Must-Have Qualifications:

• Google AI Tools:Hands-on experience withGoogle ADK(or equivalent Google Cloud AI/Vertex AI tools).
• LLM Expertise:Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architectures).
• Agentic Workflows:Demonstrable experience in building and orchestrating AI Agents (using frameworks like LangChain, LangGraph, or custom implementations).
• MCP Knowledge:Familiarity and practical experience with theModel Context Protocol (MCP)for standardizing AI interactions with external tools.
• Code Generation:Experience in leveraging AI tools or building pipelines specifically for code generation and software automation.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.