AI/ML developer-AI Agent Engineer (Required Local Candidates)

Austin

**Respond by: 04/09/2026** **Rate: DOE** **Type: Contract** **Work Mode: Hybrid** **Location: Austin TX** Please respond with resume and 3 references preferably supervisor (name, title, company, email, phone number) Background Check will be performed if a candidate is selected for placement and will have to be passed Job Description ***++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 implementin**g 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** | **III. TERMS OF SERVICE** Services are expected to start **05/04/2026** and are expected to complete by **08/31/2026** . Total estimated hours per Candidate shall not exceed **780** hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.