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LLM Engineer Job Type: Contract (W2 Only) Contract Duration: ASAP through 12/31/2025 (with good potential for extensi...

Contract Nlp

$197k* · Senior Fully remote

LLM Engineer (Contract) Company: Big Four Client Location (hybrid): San Jose, CA (Bay Area) - 2x/wk at client site Wo...

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Selected role

LLM Engineer

Bernard Nickels & Associates San Jose, CA

$197k Senior Full-time

Job Title:
LLM Engineer

Job Type:
Contract
(W2 Only)

Contract Duration:
ASAP through 12/31/2025 (with good potential for extension into 2026)

Work Location:
San Jose, CA (HYBRID role; Onsite 2 days per week)

Work Schedule/Hours:
Monday–Friday, 8 hours per day, 40 hours per week (standard business hours)

Compensation:
$85 to $95 per hour

Overview:
A leading Big Four consulting firm is seeking a highly-skilled
LLM Engineer
to design, train, and optimize large language models that drive cutting-edge applications in generative AI and natural language understanding. This role offers the opportunity to work on advanced model development, scalable deployment systems, and innovative research alongside cross-functional product and engineering teams.

Responsibilities:

Model Development & Optimization

Design, train, fine-tune, and evaluate large language models (LLMs) to ensure high performance, efficiency, and alignment with research or product goals.
Optimize model architectures, tokenization strategies, and data pipelines to enhance throughput and model accuracy.

Systems Integration & Deployment

Build and maintain scalable inference pipelines for production environments.
Optimize serving infrastructure using techniques such as quantization, caching, pruning, and distillation.
Integrate trained models into enterprise applications, APIs, or end-user products.

Research & Cross-Functional Collaboration

Lead experimentation with new architectures, retrieval-augmented generation (RAG) frameworks, and prompt-engineering techniques.
Collaborate closely with product managers, data scientists, and ML operations teams to translate research into production-grade solutions.
Stay current with advancements in transformer architectures, fine-tuning methods, and LLM safety/alignment best practices.

Qualifications:

Required:

High school diploma or GED required; Bachelor’s degree or higher preferred.
5+ years of experience in machine learning, NLP, or large-scale model development.
Strong understanding of deep learning frameworks such as PyTorch or TensorFlow.
Experience building, training, or fine-tuning large language models (e.g., GPT, LLaMA, PaLM, Falcon, etc.).
Solid programming skills in Python, with experience in distributed training and cloud-based ML infrastructure (AWS, GCP, or Azure).
Strong problem-solving and communication skills, with the ability to work cross-functionally in fast-paced environments.

Preferred:

Experience with retrieval systems, vector databases, or RAG pipelines.
Familiarity with model alignment, evaluation metrics, and responsible AI practices.

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