

GeorgiaTEK Systems Inc.
AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer in Irving, TX, lasting 6+ months with a pay rate DOE. Requires expertise in Python, LLMs, and agent development, along with experience in ML frameworks and cloud platforms. US citizenship or specific work authorization is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 2, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#TensorFlow #Compliance #Scala #Python #Docker #Data Engineering #AWS (Amazon Web Services) #Azure #Automation #PyTorch #Programming #AI (Artificial Intelligence) #API (Application Programming Interface) #Hugging Face #Cloud #Security #ML (Machine Learning) #Django #Flask #GCP (Google Cloud Platform) #Databases #Kubernetes
Role description
AI Engineer
Location: Irving, TX
Duration: 6+ Months
Rate: DOE
US Citizen, Green Card, TN, GC EAD, and H4 EAD only. No Third-party agencies, Corp to Corp
Job Overview:
We are seeking a highly skilled AI Engineer with strong expertise in Agent Development, large language models (LLMs), and Python. The ideal candidate will design, build, and deploy intelligent AI/ML solutions that enhance automation, decision-making, and user experience.
Key Responsibilities:
• Design and develop AI/ML applications with a focus on agent-based systems and LLM integration.
• Build, fine-tune, and optimize machine learning models for production environments.
• Develop robust, scalable APIs and services in Python for AI-powered applications.
• Collaborate with cross-functional teams (data engineers, software developers, and product managers) to deliver end-to-end AI solutions.
• Research and evaluate emerging AI/ML frameworks, tools, and methodologies.
• Ensure security, scalability, and performance of deployed models.
Required Skills & Qualifications:
• Strong programming experience in Python (Fast API, Flask, or Django a plus).
• Hands-on experience with Large Language Models (LLMs) such as OpenAI, Hugging Face, or similar.
• Knowledge of agent development frameworks (Lang Chain, Auto Gen, or equivalent).
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes).
• Strong problem-solving skills and ability to work independently or in a team environment.
Nice to Have:
• Experience in AI security and compliance in cloud-native environments.
• Familiarity with vector databases (Pinecone, Weaviate, FAISS).
• Exposure to MLOps tools and practices
AI Engineer
Location: Irving, TX
Duration: 6+ Months
Rate: DOE
US Citizen, Green Card, TN, GC EAD, and H4 EAD only. No Third-party agencies, Corp to Corp
Job Overview:
We are seeking a highly skilled AI Engineer with strong expertise in Agent Development, large language models (LLMs), and Python. The ideal candidate will design, build, and deploy intelligent AI/ML solutions that enhance automation, decision-making, and user experience.
Key Responsibilities:
• Design and develop AI/ML applications with a focus on agent-based systems and LLM integration.
• Build, fine-tune, and optimize machine learning models for production environments.
• Develop robust, scalable APIs and services in Python for AI-powered applications.
• Collaborate with cross-functional teams (data engineers, software developers, and product managers) to deliver end-to-end AI solutions.
• Research and evaluate emerging AI/ML frameworks, tools, and methodologies.
• Ensure security, scalability, and performance of deployed models.
Required Skills & Qualifications:
• Strong programming experience in Python (Fast API, Flask, or Django a plus).
• Hands-on experience with Large Language Models (LLMs) such as OpenAI, Hugging Face, or similar.
• Knowledge of agent development frameworks (Lang Chain, Auto Gen, or equivalent).
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes).
• Strong problem-solving skills and ability to work independently or in a team environment.
Nice to Have:
• Experience in AI security and compliance in cloud-native environments.
• Familiarity with vector databases (Pinecone, Weaviate, FAISS).
• Exposure to MLOps tools and practices