COGENT DATA SOLUTIONS LLC

AI Agent Engineer - AI/ML Engineer – Agentic Systems

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Agent Engineer - AI/ML Engineer – Agentic Systems, requiring a minimum of 4 years of experience. It offers a hybrid work location in Austin, TX, with a focus on LangChain, context engineering, and AI governance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Texas, United States
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🧠 - Skills detailed
#Scala #Data Science #Hugging Face #Databases #Libraries #AI (Artificial Intelligence) #Data Privacy #ML (Machine Learning) #Azure #Deployment #Langchain #Python #Security
Role description
Hello, Cogent Data Solutions LLC trying to reach you regarding a job opportunity. The role is AI Agent Engineer - AI/ML Engineer – Agentic Systems ( Software Developer ) for one of our direct clients. Please take a look at the job description below and please send your updated resume. Role: AI Agent Engineer - AI/ML Engineer – Agentic Systems ( Software Developer ) Location: Hybrid (onsite -Tues & Wed ) - Austin, TX Client Name: Texas Health and Human Services Commission. ( State client ) Job Qualifications/ Skills: Minimum 4 years experience AI/ML Engineer – Agentic Systems or Autonomous AI Engineer) LangChain / LangGraph / CrewAI / AutoGPT • experience in AI/ML engineering or advanced data science • Proven track record of building and deploying production-grade autonomous agents. • Strong experience in context engineering • Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT. • Experience implementing RAG architectures using vector databases • Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI) • Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation • 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 • Understanding of data privacy and handling of sensitive data (PII/PHI) • Experience building multi-agent or autonomous agentic workflows • Experience optimizing LLM cost, token usage, and performance • Familiarity with enterprise AI deployment patterns and scalability 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.