Remote LLM Model Engineer: Fine-Tuning & Conversational AI

Salveinno; United States; Remote; USD 90,000 - 134,000; Full time

Benefits offered by this job

Fully remote in Europe

B2B contractor arrangement

Health allowance

Equipment budget

Annual team gathering

Access to AI development tools

Professional development support

Global team exposure

Hands-on model ownership

Opportunity to work with self-hosted L

International environment

Job summary

Salveinno is seeking an experienced AI/LLM Engineer (Model Fine-Tuning & Conversational AI) to train, fine-tune and improve self-hosted open-weight LLMs powering multilingual AI conversations. You will work with training pipelines, datasets, evaluation frameworks and GPU infrastructure to boost quality, memory, and personality consistency.

The role emphasizes hands-on model training, SFT/LoRA/QLoRA, and production deployment rather than pure research.

Qualifications

• Proven hands-on experience personally fine-tuning open-weight LLMs and deploying improved models into production.
• Strong Python programming skills.
• Practical experience with PyTorch and Hugging Face or similar ML frameworks.
• Hands-on experience with supervised fine-tuning (SFT) and parameter-efficient fine-tuning (LoRA/QLoRA).
• Familiarity with preference optimisation techniques (DPO/GRPO).
• Experience preparing training datasets and building evaluation frameworks.
• GPU-based training experiments and debugging training issues.

Responsibilities

• Train, fine-tune and optimise open-weight language models for better conversational performance.
• Develop post-training workflows using supervised fine-tuning and PEFT techniques.
• Prepare and improve training datasets to boost response quality and consistency.
• Design evaluation frameworks to measure model quality and improvements.
• Enhance multilingual capabilities and long-context memory in models.
• Collaborate with AI engineers, product, web and DevOps teams on deployment.
• Investigate failures and optimize training data, prompts and filters.
• Deploy improved models to production and monitor performance.

Skills

Fine-tuning LLMs

Python programming

PyTorch

Hugging Face

SFT (supervised fine-tuning)

LoRA / QLoRA

DPO / GRPO

GPU training & debugging

Production deployment

Multilingual dialogue

Team collaboration

Tools

PyTorch

Hugging Face

Job description

Salveinno is seeking an experienced AI/LLM Engineer (Model Fine-Tuning & Conversational AI) to train, fine-tune and improve self-hosted open-weight LLMs powering multilingual AI conversations. You will work with training pipelines, datasets, evaluation frameworks and GPU infrastructure to boost quality, memory, and personality consistency.

The role emphasizes hands-on model training, SFT/LoRA/QLoRA, and production deployment rather than pure research.