AI Agent Engineer - HHSC

AI Agent Engineer (LLM/RAG Specialist) • Title/Level: Software Developer 2 • Category: Applications / Software Development • Positions: 3 • Location Austin Texas (Hybrid) • Mode of Interview- Video ________________________________________ I. DESCRIPTION OF SERVICES The client requires the services of three (3) Software Developer 2 professionals to support application development initiatives under the IT Staff Augmentation Contract (ITSAC). The selected Candidates will be responsible for designing, developing, and implementing modern software solutions with a strong focus on AI-driven agentic systems and intelligent automation. Key Responsibilities • Research, design, develop, and maintain software applications • Build and deploy AI-powered autonomous agents and workflows • Develop and implement Retrieval-Augmented Generation (RAG) architectures • Integrate Large Language Models (LLMs) via APIs and enterprise systems • Collaborate with developers, UX designers, business analysts, and stakeholders • Ensure compliance with AI governance, security, and data privacy standards • Implement AI guardrails, safety controls, and content filtering mechanisms • Optimize system performance, scalability, and cost efficiency • Participate in testing, debugging, and production deployment AI Agent Engineering Focus • Design and develop agentic AI solutions and autonomous workflows • Implement context-aware systems using Model Context Protocol (MCP) • Build scalable AI solutions supporting enterprise decision-making ________________________________________ II. MINIMUM QUALIFICATIONS Candidates must meet or exceed the following requirements: Years Type Required Skills / Experience 4 Required Experience in AI/ML engineering or advanced data science 4 Required Building and deploying production-grade autonomous agents 4 Required Strong experience in context engineering 4 Required Experience with LangChain, LangGraph, CrewAI, or AutoGPT 4 Required Implementation of RAG architectures using vector databases 4 Required Proficiency in Python and AI/ML tools (OpenAI, Hugging Face, Azure AI) 4 Required Integration of LLMs via APIs and AI lifecycle management 4 Required Experience with Model Context Protocol (MCP) and secure data access 4 Required Implementation of AI safety, guardrails, and content filtering 4 Required Knowledge of data privacy and handling PII/PHI Preferred Qualifications Years Type Preferred Skills 2 Preferred Multi-agent or autonomous workflow development 2 Preferred LLM optimization (cost, tokens, performance) 2 Preferred Enterprise AI deployment and scalability