AI/ML developer-AI Agent Engineer (Required Local Candidates)
Austin, Minnesota, United States of America
Contract
3 weeks ago
$85 USD
Key skills
PythonCAIMLLLMOpenAIRAGLangChainAgenticHugging FaceLangGraphAzure
About this role
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 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
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 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.