Mid/Senior AI LLM Engineer
ประกาศจากแหล่งภายนอกคุณสมัครได้โดยตรง — เราจะพาคุณไปยังหน้าสมัครงานของบริษัท ไม่ต้องสมัครสมาชิก ไม่มีคนกลาง ไม่ต้องล็อกอิน ThaiJobz
เกี่ยวกับตำแหน่ง
Join a company developing AI-powered conversational products as a Mid/Senior AI LLM Engineer, focusing on fine-tuning and deploying self-hosted large language models. This remote role involves hands-on work with open-weight models, training datasets, and GPU-based training to improve personalised AI conversations.
รายละเอียดงาน
About the Role
David Kennedy Recruitment is working with a company developing AI-powered conversational products, that is seeking to onboard a Mid/Senior AI LLM Engineer to join their team remotely.
The role focuses on fine-tuning and improving self-hosted large language models that power personalised AI conversations. You will work hands-on with open-weight models, training datasets, evaluation frameworks and GPU-based training, taking model improvements from experimentation through to production deployment.
Duties and Responsibilities
- Fine-tune open-weight large language models using techniques such as supervised fine-tuning (SFT), LoRA, QLoRA, DPO and GRPO
- Build and maintain training datasets and model evaluation frameworks
- Improve conversational memory, personality consistency and long-running dialogue quality
- Develop multilingual conversational capabilities and group interaction behaviours
- Diagnose model failures and optimise training data, prompts and classifiers
- Run GPU-based training experiments, debug issues and assess model performance
- Deploy improved models into production, measure results and iterate on performance
- Collaborate with the LLM Tech Lead, CTO, Product, Web and DevOps teams to deliver model improvements
Requirements
- Proven hands-on experience fine-tuning open-weight LLMs and deploying them into production
- Strong Python programming skills
- Practical experience with PyTorch and Hugging Face
- Hands-on experience with GPU-based model training and debugging
- Experience with supervised fine-tuning and parameter-efficient fine-tuning techniques, including LoRA or QLoRA
- Familiarity with preference optimisation techniques such as DPO or GRPO
- Ability to independently build training datasets and model evaluation frameworks
- Experience working with consumer-facing AI products
- Comfort working with uncensored AI models, explicit adult/NSFW content and sensitive moderation material
- Ability to diagnose model behaviour issues and translate findings into measurable improvements
Benefits
- Fully remote working within Europe
- Long-term collaboration, with B2B contracting preferred
- 20 working days of paid leave
- $100 monthly health insurance allowance
- Equipment budget
- Access to AI development tools
- Learning and development support
- Annual team gathering
- Opportunity to work on self-hosted LLMs powering consumer-facing AI products
- And many more!!!
สวัสดิการที่ได้รับ
คุณสมบัติผู้สมัคร
- ประสบการณ์
- 3-5 ปี
- การศึกษา
- ไม่ระบุ
เกี่ยวกับบริษัท