Job ID: JOB_ID_7694
About the Role:
The Department of Information Resources (DIR) is seeking three experienced Software Developer 2 candidates to serve as AI Agent Engineers. This role involves researching, designing, implementing, and managing advanced AI-driven agentic solutions. The primary focus will be on developing autonomous workflows and Retrieval-Augmented Generation (RAG) systems to boost productivity, automate processes, and support intelligent decision-making, with a strong emphasis on governance, security, and cost efficiency.
Key Responsibilities:
- Design, develop, and deploy production-grade autonomous AI agents.
- Implement Retrieval-Augmented Generation (RAG) architectures using vector databases.
- Develop and manage AI-driven workflows and intelligent decision-making systems.
- Integrate Large Language Models (LLMs) via APIs, leveraging libraries like OpenAI, Hugging Face, and Azure AI.
- Implement AI guardrails, content filtering, and safety controls to ensure responsible AI deployment.
- Manage context engineering and optimize LLM cost, token usage, and performance.
- Ensure data privacy and secure handling of sensitive data (PII/PHI).
- Collaborate with cross-functional teams, including UX designers, business analysts, and other developers.
- Stay current with advancements in AI/ML, LLMs, and agentic systems.
- Contribute to the development of AI governance frameworks and model lifecycle management.
Required Skills and Qualifications:
- 4 years of 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 AI frameworks such as 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 AI guardrails, content filtering, and safety controls.
- Understanding of data privacy and handling of sensitive data (PII/PHI).
Preferred Skills:
- 2 years of 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.
Work Environment:
The primary work location is 4601 W Gudalupe St, Austin, Texas 78751. This is a hybrid position, requiring 2 days onsite (Tuesdays and Wednesdays) and offering 3 days of remote work. Candidates must be LOCAL TO THE AUSTIN AREA ONLY (within a 50-mile radius) and must already reside in Texas. Candidates planning to move to Texas will not be considered.
Contract Details:
The estimated start date is 04/30/2026, with an expected completion date of 08/31/2026. The total estimated hours per candidate will not exceed 780 hours. This service may be amended, renewed, or extended upon mutual agreement.
About the Hiring Organization:
The Department of Information Resources (DIR) is responsible for overseeing the state’s information resources. This is an opportunity to contribute to critical state initiatives.
Special Requirements
Visa Constraints: None specified. Screening Steps: Not explicitly detailed, but implies candidate evaluation based on skills. Interview Modes: Not specified, likely standard interview process. Domain Restrictions: Candidates must be LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius) and must already reside in Texas.
Compensation & Location
Salary: $120,000 – $170,000 per year
Location: Austin, TX
Recruiter / Company – Contact Information
Recruiter / Employer: Department of Information Resources (DIR)
Email: yanka@triwavesolutions.com
Recruiter Notice:
To remove this job posting, please send an email from
yanka@triwavesolutions.com with the subject:
DELETE_JOB_ID_7694