Opus Recruitment Solutions
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Artificial Intelligence Engineer" with a contract length of "unknown" and a pay rate of "unknown." Key skills required include 5+ years in AI/ML, expertise in LLMs, Python, SQL, and experience with cloud platforms and MLOps.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
October 29, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#ML (Machine Learning) #AI (Artificial Intelligence) #Python #SQL (Structured Query Language) #Scala #PyTorch #NLP (Natural Language Processing) #Azure #Kubernetes #GCP (Google Cloud Platform) #Docker #TensorFlow #Cloud #"ETL (Extract #Transform #Load)"
Role description
We’re looking for an experienced AI Engineer to build and deploy intelligent, domain-specific AI agents that drive transformation. You’ll lead development from prototype to production, working with LLMs, generative AI, and scalable infrastructure.
What You’ll Do
• Build and deploy AI agents using LLMs, NLP, and generative AI.
• Develop scalable ML pipelines and infrastructure (GCP/Azure, Docker, Kubernetes).
• Collaborate cross-functionally to integrate AI into real-world products.
• Mentor junior engineers and promote ethical, compliant AI practices.
What You’ll Bring
• 5+ years in AI/ML; 2+ years with LLMs and agentic systems.
• Strong Python, SQL, and ML frameworks (PyTorch/TensorFlow).
• Experience with cloud platforms, CI/CD, and MLOps.
• Passion for innovation, prompt engineering, and AI safety.
We’re looking for an experienced AI Engineer to build and deploy intelligent, domain-specific AI agents that drive transformation. You’ll lead development from prototype to production, working with LLMs, generative AI, and scalable infrastructure.
What You’ll Do
• Build and deploy AI agents using LLMs, NLP, and generative AI.
• Develop scalable ML pipelines and infrastructure (GCP/Azure, Docker, Kubernetes).
• Collaborate cross-functionally to integrate AI into real-world products.
• Mentor junior engineers and promote ethical, compliant AI practices.
What You’ll Bring
• 5+ years in AI/ML; 2+ years with LLMs and agentic systems.
• Strong Python, SQL, and ML frameworks (PyTorch/TensorFlow).
• Experience with cloud platforms, CI/CD, and MLOps.
• Passion for innovation, prompt engineering, and AI safety.
