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 SERVICESThe 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 deploymentAI 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 QUALIFICATIONSCandidates must meet or exceed the following requirements:Years Type Required Skills / Experience4 Required Experience in AI/ML engineering or advanced data science4 Required Building and deploying production-grade autonomous agents4 Required Strong experience in context engineering4 Required Experience with LangChain, LangGraph, CrewAI, or AutoGPT4 Required Implementation of RAG architectures using vector databases4 Required Proficiency in Python and AI/ML tools (OpenAI, Hugging Face, Azure AI)4 Required Integration of LLMs via APIs and AI lifecycle management4 Required Experience with Model Context Protocol (MCP) and secure data access4 Required Implementation of AI safety, guardrails, and content filtering4 Required Knowledge of data privacy and handling PII/PHIPreferred QualificationsYears Type Preferred Skills2 Preferred Multi-agent or autonomous workflow development2 Preferred LLM optimization (cost, tokens, performance)2 Preferred Enterprise AI deployment and scalability