AI Agent Engineer - $111 CTC - HYBRID (LOCAL TO AUSTIN AREA ONLY)

Hybrid in Austin, TX, US • Posted 1 day ago • Updated 1 day ago
Contract Independent
Contract W2
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Artificial Intelligence
  • Machine Learning (ML)
  • Python
  • Microsoft Azure
  • LangChain
  • context engineering
  • Data science

Summary

Job Description:

***Crop to Crop resumes are accepted
Location Requirement: The primary work location will be 4601 W Gudalupe St, Austin, Texas 78751.

Position will be 3 days remote with 2 days (Tues & Wed) required to be onsite at the location listed above. Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius). **Subject to change per the hiring team**

Candidates must already reside in Texas.

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 Skills:

  • 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 LangChain, LangGraph, CrewAI, or AutoGPT.
  • Experience implementing RAG architectures using vector databases
  • Proficiency in Python and AI/ML libraries (OpenAI, 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)

Desired Skills:

  • 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10121151
  • Position Id: TXHHSC-AIE0407
  • Posted 1 day ago
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