AI Engineer

Tasks

• Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows.
• Integrate cutting-edge Large Language Models (LLMs) into our core products and services to enhance functionality and user experience.
• Utilize the Model Context Protocol (MCP) to securely connect our AI models to various data sources, tools, and development environments.
• Leverage #AI and LLMs to build systems that assist in, or fully automate, code generation, testing, and optimization processes.
• Write clean, scalable, and maintainable code in both Java and Python to support AI backend infrastructure.
• Utilize #Google_ADK (AI Developer Kits) and related Google Cloud AI services (e.g., #Vertex AI, #Gemini APIs) to deploy robust AI solutions.
• Work closely with product managers, data scientists, and frontend engineers to translate business requirements into technical AI solutions.

Requirements

• Strong proficiency in both #Java and #Python, with a proven track record of building production-grade software.
• Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tools).
• Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architectures).
• Demonstrable experience in building and orchestrating AI Agents (using frameworks like LangChain, LangGraph, or custom implementations).
• Familiarity and practical experience with the Model Context Protocol (MCP) for standardizing AI interactions wit

Schedule

• Duration: 12 Months
• 100% Onsite

Location

• Irving, TX, or Charlotte NC