Revolution Technologies
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer on a 3-month contract, hybrid in San Jose, CA, paying W2 only. Key skills include AI, ML, and deployment experience with large language models. Collaboration with data science and ML teams is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 14, 2025
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#Data Science #AI (Artificial Intelligence) #Deployment #ML (Machine Learning) #Scala
Role description
AI/LLM Engineer
3-Month Contract | Hybrid (San Jose, CA)
W2 ONLY
Overview:
Our client is seeking an experienced AI/LLM Engineer to design, optimize, and deploy large language models for real-world applications. This role combines deep technical expertise in model development with hands-on experience in scalable systems and production integration.
Responsibilities:
• Model Development & Optimization: Design, train, fine-tune, and evaluate large language models (LLMs) to improve performance, efficiency, and alignment with business or research objectives.
• Systems Integration & Deployment: Build scalable inference pipelines, optimize serving infrastructure (e.g., quantization, caching, distillation), and integrate models into products, APIs, or services.
• Research & Collaboration: Experiment with new architectures, prompt-engineering techniques, and retrieval systems. Partner with data science, product, and ML operations teams to translate research into production-ready solutions.
Contract Details:
• Duration: 3-month contract (potential for extension)
• Location: Hybrid — onsite in San Jose, CA
AI/LLM Engineer
3-Month Contract | Hybrid (San Jose, CA)
W2 ONLY
Overview:
Our client is seeking an experienced AI/LLM Engineer to design, optimize, and deploy large language models for real-world applications. This role combines deep technical expertise in model development with hands-on experience in scalable systems and production integration.
Responsibilities:
• Model Development & Optimization: Design, train, fine-tune, and evaluate large language models (LLMs) to improve performance, efficiency, and alignment with business or research objectives.
• Systems Integration & Deployment: Build scalable inference pipelines, optimize serving infrastructure (e.g., quantization, caching, distillation), and integrate models into products, APIs, or services.
• Research & Collaboration: Experiment with new architectures, prompt-engineering techniques, and retrieval systems. Partner with data science, product, and ML operations teams to translate research into production-ready solutions.
Contract Details:
• Duration: 3-month contract (potential for extension)
• Location: Hybrid — onsite in San Jose, CA
