AI Engineer
Backend Developer
Agentic Ai
Ai Agent
Ai Agent Platform
Ai Engineering
Ai Platform
Ai Security
Artificial Intelligence
Artificial Intelligence Engineer
Data Analysis
Data Processing
Gcp Ai
Generative AI
Generative Ai Engineering
Information Technology (IT)
Large Language Models
Llm
Machine Learning
Programming
Programming Language
Programming Languages
Prompt Engineering
Rag Architectures
Software Development
Software Engineering
Job Description
The AI Engineer role at Robotics Technologies supports the design, build, and deployment of advanced AI agents that use large language models (LLMs) and Google AI tooling. This position is based in Texas onsite and focuses on integrating agent capabilities into production systems.
Responsibilities
- Design, build, and deploy autonomous AI agents that can reason, plan, and execute complex workflows.
- Integrate cutting-edge LLMs into core products and services to improve functionality and user experience.
- Use the Model Context Protocol (MCP) to securely connect AI models with data sources, tools, and development environments.
- Apply AI and LLMs to create systems that assist with, or fully automate, code generation, testing, and optimization.
- Write clean, scalable, and maintainable backend code in Java and Python to support AI infrastructure.
- Leverage Google ADK (AI Developer Kits) and related Google Cloud AI services, including Vertex AI and Gemini APIs, to deploy robust AI solutions.
- Collaborate with product managers, data scientists, and frontend engineers to translate business requirements into technical AI implementations.
Required Qualifications
- Hands-on experience with Google ADK (or equivalent Google Cloud AI and Vertex AI tools).
- Deep, practical experience working with LLMs, including prompt engineering, fine-tuning, and RAG architectures.
- Demonstrable experience building and orchestrating AI agents, using frameworks such as LangChain and LangGraph, or via custom implementations.
- Practical familiarity with Model Context Protocol (MCP) to standardize AI interactions with external tools.
- Experience using AI tools or building pipelines specifically for code generation and software automation.
Key Technologies
- Java
- Python
- Google ADK (AI Developer Kits)
- Vertex AI
- Gemini APIs
- Large Language Models (LLMs)
- Model Context Protocol (MCP)
- LangChain
- LangGraph
- Prompt engineering
- Fine-tuning
- RAG architectures
Location and Compensation
Location: Texas (onsite).
Compensation: USD 69 per hour.
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