REQT: Direct Client: AI Agent Engineer @ Austin, TX – HYBRID – Only Locals

Dice is the leading career destination for tech experts at every stage of their careers. Our client, KSN Technologies, Inc., is seeking the following. Apply via Dice today! AI Agent Engineer Austin, TX – HYBRID – Only Locals 5 months Contract Looking for the candidates who can work without any visa sponsorship. ONLY INPERSON INTERVIEWS Position is ONSITE/Hybrid at the location listed above (with some hybrid work – determined by the hiring manager). The program will only accept LOCAL ONLY candidates for this position. The program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY. Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas. Level Description 4-7 years of experience in the field or in a related area. Familiar with standard concepts, practices, and procedures within a particular field. Relies on limited experience and judgment to plan and accomplish goals. A certain degree of creativity and latitude is required. Works under limited supervision with considerable latitude for the use of initiative and independent judgment.  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. Additional Job Details And Special Considerations 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