We are hiring: LLM Engineer – 06-August-2026 US Remote

Hiring Organization: LLMCore Dynamics

Client ID: 782QMLP

Job ID: 941LKPV

Role Overview

LLMCore Dynamics is seeking a pioneering, highly analytical, and technically brilliant LLM Engineer to join our remote-first AI engineering team. In this full-time role, you will be responsible for designing, fine-tuning, and deploying state-of-the-art Large Language Models that drive our core generative AI capabilities. We value deep understanding of transformer architectures, efficient model fine-tuning, and scalable inference infrastructure. Whether you are an experienced machine learning engineer or a talented fresher looking for a supportive environment to launch your career, we offer a research-heavy, mentorship-rich culture where your contributions will directly impact our most critical AI-driven product capabilities.

Key Responsibilities

• Fine-tune Large Language Models (LLMs) on domain-specific datasets using techniques like LoRA, QLoRA, and RLHF.
• Develop and maintain production-grade Retrieval-Augmented Generation (RAG) pipelines for accurate, context-aware responses.
• Optimize model performance for production deployment, focusing on inference latency, throughput, and quantization.
• Collaborate with engineering teams to integrate generative AI features into end-user applications via robust APIs.
• Develop automated evaluation frameworks to measure model quality, safety, and hallucination rates.
• Debug and resolve complex technical issues in training processes, model instability, and performance bottlenecks.
• Participate in peer code reviews and architectural planning to maintain engineering standards and model quality.
• Contribute to the continuous improvement of internal MLOps workflows, automated training, and deployment frameworks.
• Research and implement new LLM architectures and alignment techniques to stay at the absolute forefront of generative AI.
• Document model design, training parameters, technical specifications, and research findings for cross-team knowledge dissemination.

Required Qualifications

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.
• Strong proficiency in Python and deep knowledge of modern frameworks (PyTorch, Transformers, Hugging Face).
• Solid understanding of transformer architecture, tokenization, and attention mechanisms.
• Experience with fine-tuning techniques and prompt engineering.
• Familiarity with version control systems like Git.
• Excellent communication skills and the ability to work effectively in a remote, distributed team.
• A proactive, problem-solving mindset and a passion for building AI that transforms industries.
• Freshers with strong academic foundations in NLP/LLMs or exceptional project portfolios are encouraged to apply; we provide extensive mentorship.
• Reliable high-speed internet connection for consistent, professional virtual collaboration.

Preferred Skills

• Experience with AI orchestration frameworks (LangChain, LlamaIndex).
• Knowledge of vector databases (Pinecone, Milvus, Weaviate).
• Experience with cloud platforms (AWS, GCP, Azure) for AI infrastructure.
• Familiarity with model deployment and optimization (Triton, ONNX, vLLM).
• Experience with big data tools and efficient data processing workflows for text.

What We Offer

• Competitive Annual Salary: $298,450.
• 100% remote flexibility from any location in the United States.
• Comprehensive health, dental, and vision insurance packages.
• Retirement savings plan with company matching contributions.
• Generous Paid Time Off (PTO), including holidays and personal wellness days.
• Structured career development, mentorship, and support for professional certifications.
• A highly collaborative, inclusive, and mission-driven engineering culture focused on innovative generative AI solutions.

Employment Details

Workplace Type: Remote

Location: United States (US)

Job Type: Full-Time

Employment Type: FULL_TIME

Employer Address: 500 LLMWay, Suite 300, San Francisco, CA 94105

Freshers Can Apply: Yes

Standard Application Notice

LLMCore Dynamics is an equal opportunity employer. We value diversity and are committed to creating an inclusive culture for all employees. All hiring decisions are based on merit, qualifications, and the business needs of the organization. Please submit your application using the form below.