AI/ML developer-AI Agent Engineer (Required Local Candidates)

Austin, TX, US • Posted 9 hours ago • Updated 2 hours ago
Contract W2
Contract Corp To Corp
On-site
$85.23/-
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI
  • RAG

Summary

Respond by: 04/06/2026

Rate: DOE

Type: Contract

Work Mode: Hybrid

Location: Austin TX

Please respond with resume and 3 references preferably supervisor (name, title, company, email, phone number)

Background Check will be performed if a candidate is selected for placement and will have to be passed

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. 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
III. TERMS OF SERVICE
Services are expected to start 04/30/2026 and are expected to complete by 08/31/2026. Total estimated hours per Candidate shall not exceed 780 hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.
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: 10212948
  • Position Id: 2026-3987
  • Posted 9 hours ago
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