AI Agent Engineer

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

AI Agent Engineer
Austin TX Hybrid Only Locals
5 months Contract

INPERSON INTERVIEWS

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**

Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.

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

AI Agent Engineer Austin TX Hybrid Only Locals 5 months Contract INPERSON INTERVIEWS 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)...

AI Agent Engineer
Austin TX Hybrid Only Locals
5 months Contract

INPERSON INTERVIEWS

Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.

Researching designing implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers UX designers business and systems analysts.

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