City : Austin
State : Texas
Neos is Seeking an AI Agent Engineer for a contract role with our client in Austin, TX.
***HYBRID - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TX AREA (Within 50-mile radius) WILL BE CONSIDERED***
Position will be 3 days remote with 2 days (Tues & Wed) required to be onsite
at 4601 W Gudalupe St, Austin, Texas 78751
Interviews will be conducted via MS Teams and Onsite in Austin, TX
DESCRIPTION OF SERVICES
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.
CANDIDATE SKILLS AND QUALIFICATIONS
4 years Required experience in AI/ML engineering or advanced data science
4 years Required Proven track record of building and deploying production-grade autonomous agents.
4 years Required Strong experience in context engineering
4 years Required Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.
4 years Required Experience implementing RAG architectures using vector databases
4 years Required Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)
4 years Required Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation
4 years 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 years Required Understanding of data privacy and handling of sensitive data (PII/PHI)
2 years Preferred Experience building multi-agent or autonomous agentic workflows
2 years Preferred Experience optimizing LLM cost, token usage, and performance
2 years Preferred Familiarity with enterprise AI deployment patterns and scalability considerations
#DICE
#LI-IC
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: 10111245
- Position Id: a0FRb00000EoporMAB
- Posted 1 day ago
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