LLM Engineer

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Design and execute fine-tuning experiments for large language models using supervised fine-tuning, DPO, RLHF, and related methods.
• Lead dataset construction, curation, quality assurance, and preference-data workflows.
• Build and operate scalable distributed training pipelines on GPU clusters.
• Optimize hyperparameters, training stability, throughput, mixed precision, sequence packing, and efficient attention.
• Develop automated benchmarks, human evaluations, capability probes, safety evaluations, and refusal-policy tests.
• Manage experiment artifacts and reproducibility, collaborate with product and platform teams, document results, and mentor engineers.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent experience.
• At least 10 years of experience is listed for the position, including six or more years of combined ML research and engineering experience with significant LLM exposure.
• Strong proficiency in Python, PyTorch, and modern deep learning frameworks.
• Hands-on experience fine-tuning transformer-based language models at non-trivial scale.
• Experience with FSDP, ZeRO, pipeline parallelism, RLHF or DPO, evaluation methodology, and GPU-cluster operations.
• Applicants must be authorized to work in the United States; U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.

Nice to have

• Publications at top-tier machine learning venues.
• Multimodal model fine-tuning experience.
• Synthetic data generation, dataset distillation, or open-source contributions to LLM training libraries.
• Responsible AI evaluation and red-teaming experience.

Culture & Benefits

• Full-time direct W-2 employment.
• Collaboration with product, design, engineering, operations, research, and business stakeholders.
• Opportunity to contribute to production AI and enterprise software solutions.
• Career growth within an established technology consulting and software development organization.