Generative AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer in Sunnyvale, CA, for 12 months, offering a competitive pay rate. Requires 6-10 years of experience in AI engineering, LLM integration, and MLOps practices, along with strong applied data science skills.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 13, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Model Evaluation #Monitoring #Model Deployment #Deployment #ML (Machine Learning) #AI (Artificial Intelligence) #Databases #Data Science #Graph Databases
Role description
AI / LLM Engineer Location: Sunnyvale, CA Duration: 12 Months Experience: 6–10 Years Role Overview We are seeking an AI / LLM Engineer with applied data science experience to design, build, and integrate applications leveraging large language models (LLMs). The ideal candidate will have strong expertise in AI engineering, including retrieval, context management, evaluation methods, and MLOps practices. Key Responsibilities β€’ Build and integrate applications using LLMs and AI technologies. β€’ Implement structured retrieval approaches, such as vector databases or graph databases. β€’ Apply AI engineering best practices, including retrieval strategies, context management, and evaluation methods. β€’ Collaborate with other engineers to share and implement AI best practices. β€’ Contribute to MLOps pipelines for AI/ML model deployment and monitoring. Required Skills & Experience β€’ Applied data science background: Degree coursework, immersive bootcamp, or equivalent hands-on experience. β€’ Strong experience with LLM integration and application development. β€’ Knowledge of vector databases, graph databases, or other structured retrieval methods. β€’ Solid understanding of AI engineering practices, including MLOps and model evaluation. β€’ Ability to clearly communicate AI concepts to engineering teams.