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# AI Engineer

- **Company:** THE JUDGE GROUP, INC.
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Github, Python (Programming Language), Software Engineering, Software Organization, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Information Technology, Software Version Control
- **Published:** September 29, 2026
- **Apply:** https://www.dice.com/job-detail/fa85d7be-595f-46dd-b0e3-fd41b52f0dc4

## About the Role

* Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
 * 3+ years of software development experience with strong proficiency in Python.
 * Experience with GitHub, version control, and collaborative development workflows.
 * Hands-on experience with Generative AI and LLM technologies.
 * Strong knowledge of LangChain and related AI application frameworks.
 * Experience building RAG (Retrieval-Augmented Generation) solutions.
 * Working knowledge of Vector Databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
 * Familiarity with Model Context Protocol (MCP) and AI integrations.
 * Experience designing and developing AI Agents and Agentic Workflows.
 * Strong understanding of APIs, automation frameworks, and software development best practices.

## Description

* Build, maintain, and enhance the centralized AI Skills, Agents, and Templates Hub.
 * Design and develop reusable AI agents, workflows, prompt libraries, and automation solutions.
 * Create scalable AI solutions utilizing LLMs, RAG architectures, and Vector Databases.
 * Develop onboarding guides, technical documentation, best practices, and training materials to support AI adoption.
 * Collaborate with AI coaches and cross-functional teams to identify, validate, and productionize successful AI use cases.
 * Manage intake, prioritization, and tracking of AI enablement requests and initiatives.
 * Implement and maintain AI governance, quality standards, release processes, and asset lifecycle management.
 * Monitor AI solution performance, adoption metrics, and usage analytics to drive continuous improvement.
 * Support the development of multi-agent AI systems and orchestration frameworks.
 * Contribute to AI innovation initiatives and evaluate emerging technologies, tools, and frameworks.


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