

GenAI/LLM Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI/LLM Engineer in California, offering an ongoing contract with a target start date next month. Key skills include deep learning frameworks, LLM training techniques, and experience with multi-GPU training.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
760
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ποΈ - Date discovered
August 29, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
San Francisco Bay Area
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π§ - Skills detailed
#Compliance #AI (Artificial Intelligence) #Transformers #"ETL (Extract #Transform #Load)" #Hugging Face #Data Pipeline #Deep Learning #Monitoring #PyTorch #TensorFlow #Documentation #Libraries
Role description
Job Title: GenAI Engineer β AI Solutions Development
Location: California (Bay Area preferred)
Contract Type: Ongoing
Start Date: Targeting next month
Weβre looking for a GenAI Engineer to join a fast-moving team focused on delivering high-impact AI solutions across multiple business units. This role is ideal for someone who thrives in early-stage discovery environments and enjoys shaping technical direction from the ground up.
π What Youβll Do
β’ Fine-tune foundation models using advanced techniques (LoRA, PEFT, QLoRA)
β’ Build reusable prompt libraries and systematic prompt engineering frameworks
β’ Design and implement retrieval-augmented generation (RAG) pipelines
β’ Optimize model performance using quantization, pruning, and hybrid memory strategies
β’ Develop advanced prompting strategies (e.g., chain-of-thought, agent orchestration)
β’ Collaborate with MLOps to deploy, monitor, and retrain models
β’ Establish prompt versioning and governance systems
π§ What You Bring
β’ Strong experience with deep learning frameworks (PyTorch, TensorFlow) and Hugging Face Transformers
β’ Familiarity with DSPy and LLM training techniques
β’ Hands-on knowledge of multi-GPU training, memory optimization, and parallelization
β’ Understanding of LLMOps workflows and production monitoring
β’ Ability to interpret research and apply emerging techniques
β’ Experience building data pipelines for domain-specific model adaptation
π‘ Bonus Skills
β’ Experience with agent-based architectures and conversation orchestration
β’ Background in technical documentation, regulatory compliance, or utility operations (a plus, not required)
Job Title: GenAI Engineer β AI Solutions Development
Location: California (Bay Area preferred)
Contract Type: Ongoing
Start Date: Targeting next month
Weβre looking for a GenAI Engineer to join a fast-moving team focused on delivering high-impact AI solutions across multiple business units. This role is ideal for someone who thrives in early-stage discovery environments and enjoys shaping technical direction from the ground up.
π What Youβll Do
β’ Fine-tune foundation models using advanced techniques (LoRA, PEFT, QLoRA)
β’ Build reusable prompt libraries and systematic prompt engineering frameworks
β’ Design and implement retrieval-augmented generation (RAG) pipelines
β’ Optimize model performance using quantization, pruning, and hybrid memory strategies
β’ Develop advanced prompting strategies (e.g., chain-of-thought, agent orchestration)
β’ Collaborate with MLOps to deploy, monitor, and retrain models
β’ Establish prompt versioning and governance systems
π§ What You Bring
β’ Strong experience with deep learning frameworks (PyTorch, TensorFlow) and Hugging Face Transformers
β’ Familiarity with DSPy and LLM training techniques
β’ Hands-on knowledge of multi-GPU training, memory optimization, and parallelization
β’ Understanding of LLMOps workflows and production monitoring
β’ Ability to interpret research and apply emerging techniques
β’ Experience building data pipelines for domain-specific model adaptation
π‘ Bonus Skills
β’ Experience with agent-based architectures and conversation orchestration
β’ Background in technical documentation, regulatory compliance, or utility operations (a plus, not required)