AI/ML developer-AI Agent Engineer (Required Local Candidates)
Texcelvision
Austin, TX
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JOB DETAILS
SALARY
$65–$104
LOCATION
Austin, TX
POSTED
2 days ago
Respond by: 04/06/2026
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
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.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 |
III. TERMS OF SERVICE
Services are expected to start 04/30/2026 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.
About the Company
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