GenAI/LLM Engineer
GenAI/LLM Engineer
Posted on :
02-09-2025
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1 Vacancy
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Job Description
Job Title: GenAI/ LLM Engineer
Location: Portland OR (Remote)
Duration: Long Term (Contract)
Interview mode: Virtual
Visa: USC/ GC Only
Job Description-
Must have Valid LinkedIn profile.
Relocation Offered: Yes (try to find PST/CST profiles)
Key Responsibilities:
- Implement and optimize advanced fine-tuning approaches (LoRA PEFT QLoRA) to adapt foundation models to PG&Es domain
- Develop systematic prompt engineering methodologies specific to utility operations regulatory compliance and technical documentation
- Create reusable prompt templates and libraries to standardize interactions across multiple LLM applications and use cases
- Implement prompt testing frameworks to quantitatively evaluate and iteratively improve prompt effectiveness
- Establish prompt versioning systems and governance to maintain consistency and quality across applications
- Apply model customization techniques like knowledge distillation quantization and pruning to reduce memory footprint and inference costs
- Tackle memory constraints using techniques such as sharded data parallelism GPU offloading or CPUGPU hybrid approaches
- Build robust retrieval-augmented generation (RAG) pipelines with vector databases embedding pipelines and optimized chunking strategies
- Design advanced prompting strategies including chain-of-thought reasoning conversation orchestration and agent-based approaches
- Collaborate with the MLOps engineer to ensure models are efficiently deployed monitored and retrained as needed
Expected Skillset:
- Deep Learning & NLP: Proficiency with PyTorch/TensorFlow Hugging Face Transformers DSPy and advanced LLM training techniques
- GPU/Hardware Knowledge: Experience with multi-GPU training memory optimization and parallelization strategies
- LLMOps: Familiarity with workflows for maintaining LLM-based applications in production and monitoring model performance
- Technical Adaptability: Ability to interpret research papers and implement emerging techniques (without necessarily requiring PhD-level mathematics)
- Domain Adaptation: Skills in creating data pipelines for fine-tuning models with utility-specific content
Employment Type
Full-time
Key Skills
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