What are the responsibilities and job description for the Direct Client - AI Agent Engineer position at Resource Informatics Group?
Role: Senior AI Agent Engineer
Location: Austin, TX
Duration: Long term
Rates: DOE (best in market for sure)
Prefer locals
Visa: H1B/H1B-T/ EAD/USC
Are we direct with customer: Yes (NO hidden layers)
Turn around for interview and start date 3 weeks
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.
Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.
QUALIFICATIONS:
- Experience in AI/ML engineering or advanced data science 5 yrs
- Proven track record of building and deploying production-grade autonomous agents. 5 yrs
- Strong experience in context engineering 5 yrs
- Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT 5 yrs
- Experience implementing RAG architectures using vector databases 4 yrs
- Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI) 6 yrs
- Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation 6yrs
- 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 5 yrs
- Understanding of data privacy and handling of sensitive data (PII/PHI) 5yrs
- Experience building multi-agent or autonomous agentic workflows 4 yrs
- Experience optimizing LLM cost, token usage, and performance 4 yrs
- Familiarity with enterprise AI deployment patterns and scalability considerations 4 yrs