AI Engineer

Robotic Process Automation LLC; Irving (TX); Remote; USD 86,000 - 123,000; Full time

Job summary

Robotic Technologies Automation in Irving, TX is seeking an innovative AI Engineer to design, build, and deploy autonomous AI agents, integrate LLMs, and drive automated code generation initiatives. Strong Java and Python skills and hands-on experience with Google's AI tools are required.

You will implement MCP to securely connect AI models to data sources, work with product managers and data scientists, and build scalable backend services using Java and Python, with Google Cloud AI services

Qualifications

• Proficient in Java and Python with production-grade software experience.
• Hands-on experience with Google AI tools and services.
• Experience with LLMs, prompt engineering and RAG architectures.
• Knowledge of designing AI agents and orchestration frameworks.

Responsibilities

• Design, build, and deploy autonomous AI agents capable of reasoning and executing workflows.
• Integrate Large Language Models into core products and services.
• Implement MCP to securely connect AI models to data sources and tools.
• Develop and optimize code generation and AI-powered automation pipelines.
• Write scalable backend code in Java and Python for AI infrastructure.
• Leverage Google Cloud AI services (Vertex AI, Gemini APIs) for deployment.
• Collaborate with product managers, data scientists, and frontend engineers.

Skills

Java

Python

Google AI Tools

LLM integration

Agentic workflows

MCP knowledge

Code generation

Tools

Google ADK

Vertex AI

Kubernetes

Job description

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

• Job Title: AI Engineer
• Location: Irving, TX(Remote)
• Duration: 24 Months + Extension
• Bill Rate: $76/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 Description:

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:

• Programming Languages: Strong proficiency in both Java and Python, with a proven track record of building production-grade software.
• Google AI Tools: Hands-on experience with Google ADK (or equival).
• 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.

Good-to-Have:

• Experience with modern robust backend frameworks (e.g., Spring Boot for Java, FastAPI for Python).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Experience with vector databases (e.g., Pinecone, Weaviate, Milvus

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.