Senior AI Agent Engineer

Hybrid in Austin, TX, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
No Travel Required
Hybrid
$50 - $60/hr
Fitment

Dice Job Match Score™

🧠 Analyzing your skills...

Job Details

Skills

  • Data Protection
  • Process Automation
  • User Experience
  • Artificial Intelligence
  • Machine Learning
  • Governance
  • Generative AI
  • Immigration
  • Data Science
  • Systems Integration
  • information technology
  • software deployment
  • workflows
  • Scalability
  • Cyber Security
  • Outsourcing
  • Administrative Operations
  • Subcontractors Relationship Management
  • Safety Principles
  • Testing Skills
  • Application Programming Interfaces (APIs)
  • Creativity
  • Research Skills
  • Decision Making Skills
  • Large Language Models
  • Virtual Agents
  • Computer Security Awareness Training
  • Tax Efficiency
  • Multi-Agent Systems

Summary

Job Title: Senior AI Agent Engineer
Location: Austin, TX, (Hybrid)
Position Type: Contract
Interview Mode: In-person

Note: The program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY.

Job Description
Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.
 
Additional job details and special considerations
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
 
II.  CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
4
Required
experience in AI/ML engineering or advanced data science
4
Required
Proven track record of building and deploying production-grade autonomous agents.
4
Required
Strong experience in context engineering
4
Required
Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.
4
Required
Experience implementing RAG architectures using vector databases
4
Required
Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)
4
Required
Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation
4
Required
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
4
Required
Understanding of data privacy and handling of sensitive data (PII/PHI)
2
Preferred
Experience building multi-agent or autonomous agentic workflows
2
Preferred
Experience optimizing LLM cost, token usage, and performance
2
Preferred
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: 91091585
  • Position Id: 1752-37720-5096
  • Posted 3 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Hybrid in Austin, Texas

Today

Easy Apply

Contract, Third Party

Depends on Experience

Hybrid in Austin, Texas

Today

Contract

Hourly

Hybrid in Austin, Texas

Today

Easy Apply

Contract, Third Party

Depends on Experience

Hybrid in Austin, Texas

Today

Easy Apply

Contract

Depends on Experience

Search all similar jobs