Confidential Jobs
Generative AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer in Austin, TX, on a long-term hybrid contract. Required skills include AI/ML engineering, context engineering, and proficiency in Python. Experience with RAG architectures and data privacy is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 3, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Austin, TX
-
🧠 - Skills detailed
#Scala #Data Science #Hugging Face #Databases #Libraries #AI (Artificial Intelligence) #Data Privacy #ML (Machine Learning) #Azure #Deployment #Security #Python
Role description
Title: Gen AI Engineer with AI/ML Engineer & Data Scientist
Location: Austin, TX – Onsite (Hybrid) -- (REQUIRED ONLY LOCAL TO TEXAS)
Long Term project
JOB DESCRIPTION:
AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency.
Required:
• Experience in AI/ML engineering or advanced data science
• Proven track record of building and deploying production-grade autonomous agents.
• Strong experience in context engineering
• Deep experience with Lang Chain, Lang Graph, Crew AI, or Auto GPT.
• Experience implementing RAG architectures using vector databases
• Proficiency in Python and AI/ML libraries (Open AI, Hugging Face, Azure AI)
• Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation
• Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls
• Understanding of data privacy and handling of sensitive data (PII/PHI)
Preferred:
• Experience building multi-agent or autonomous agentic workflows
• Experience optimizing LLM cost, token usage, and performance
• Familiarity with enterprise AI deployment patterns and scalability considerations
Title: Gen AI Engineer with AI/ML Engineer & Data Scientist
Location: Austin, TX – Onsite (Hybrid) -- (REQUIRED ONLY LOCAL TO TEXAS)
Long Term project
JOB DESCRIPTION:
AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency.
Required:
• Experience in AI/ML engineering or advanced data science
• Proven track record of building and deploying production-grade autonomous agents.
• Strong experience in context engineering
• Deep experience with Lang Chain, Lang Graph, Crew AI, or Auto GPT.
• Experience implementing RAG architectures using vector databases
• Proficiency in Python and AI/ML libraries (Open AI, Hugging Face, Azure AI)
• Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation
• Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls
• Understanding of data privacy and handling of sensitive data (PII/PHI)
Preferred:
• Experience building multi-agent or autonomous agentic workflows
• Experience optimizing LLM cost, token usage, and performance
• Familiarity with enterprise AI deployment patterns and scalability considerations
