> Markdown version of [/jobs/ext/4715956-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4715956-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Robotics Technologies LLC - **Location:** Irving, TX, United States - **Salary:** $176,800 - **Contract:** Temporary contract - **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Code Generation, Python (Programming Language), Machine Learning, Pinecone, Google Cloud, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Spring-boot, Agentic-AI, Fastapi, Weaviate, Milvus, Google Gemini, Model Context Protocol, Docker - **Published:** November 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a6a12af4d9d4dc9d ## About the Role * Strong proficiency in Java and Python. * Hands-on experience with Google ADK or Google Cloud AI/Vertex AI. * Strong knowledge of LLMs, prompt engineering, RAG, and fine-tuning. * Experience building AI agents using LangChain, LangGraph, or similar frameworks. * Practical knowledge of Model Context Protocol (MCP). * Experience with AI-powered code generation and automation. Preferred Skills: * Spring Boot and FastAPI. * Docker and Kubernetes. * Vector databases such as Pinecone, Weaviate, or Milvus. ## Description We are seeking a skilled AI Engineer to design, develop, and deploy advanced AI-powered applications. The ideal candidate should have strong experience in Java, Python, Large Language Models (LLMs), AI agents, and Google Cloud AI technologies., * Design, develop, and deploy autonomous AI agents. * Integrate Large Language Models (LLMs) into enterprise applications. * Implement Model Context Protocol (MCP) to connect AI models with external tools and data sources. * Develop automated code generation, testing, and optimization solutions. * Build scalable backend applications using Java and Python. * Work with Google ADK, Vertex AI, and Gemini APIs. * Collaborate with product managers, data scientists, and engineering teams.