

Deployed AI Engineer – GenAI & LLMs
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Deployed AI Engineer – GenAI & LLMs, remote, long-term contract, offering competitive pay. Requires 8+ years in AI/ML engineering, expertise in LLMs, proficiency in Python/Java/C++, and fluency in English and Arabic.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 9, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#C++ #Computer Science #Scala #ML (Machine Learning) #TensorFlow #Deployment #AI (Artificial Intelligence) #Python #Mathematics #Deep Learning #PyTorch #Java #Model Deployment
Role description
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Job Title: Forward Deployed AI Engineer – GenAI & LLMs
Location: Remote
Duration: Long Term
Job Description:
I am currently working with an artificial intelligence company that is seeking Forward Deployed AI Engineers in Riyadh to collaborate directly with customers in building and implementing GenAI applications.
This role requires a hands-on AI expert with experience in LLM workflows, AI/ML engineering, and real-world AI deployment. The ideal candidate will have a strong background in optimizing AI inference workloads, troubleshooting model performance, and delivering scalable GenAI solutions.
Key Responsibilities:
• Develop and deploy end-to-end GenAI workflows at scale.
• Optimize AI inference workloads for performance and efficiency.
• Troubleshoot model performance and assist in benchmarking.
• Provide hands-on engineering support for AI/ML teams.
• Collaborate with customers to define AI strategies and implement real-world solutions.
• Act as a technical bridge between stakeholders and engineering teams.
• Work on-site with customers to implement, optimize, and scale AI workloads.
• Support AI/ML teams with model deployment and optimization strategies.
Requirements:
• 8+ years in AI/ML engineering or deep learning optimization.
• Experience with LLMs and a deep understanding of the GenAI landscape.
• Strong foundation in Machine Learning principles, including evaluation, training, and problem decomposition.
• Hands-on experience in AI solution development and deployment.
• Expertise in AI inference pipelines and hardware acceleration.
• Strong engineering background in Computer Science, Software Engineering, Mathematics, Physics, or a related field.
• Proficiency in Python, Java, or C++ for AI/ML development.
• Experience working with AI frameworks such as TensorFlow, PyTorch, and ONNX.
• Ability to work in dynamic environments with evolving objectives.
• Fluent in both English and Arabic (written and spoken).
• Willingness to travel up to 50% as needed, with flexibility based on individual preferences.