AI Engineer

THE JUDGE GROUP, INC.

Austin, TX, United States

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$124,800.0 - $135,200.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

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

Job 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.

Requirements

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.