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Contract TypeContract TypeFull-time
Workplace typeWorkplace typeRemote
LocationLocationSaudi Arabia

About the Role

This Senior NLP Engineer position is for a partner company of Jobgether. The role is based in Saudi Arabia and focuses on developing next-generation AI systems for large-scale social and conversational products. The engineer will be instrumental in designing and enhancing advanced language models to create intelligent and engaging AI-driven companions and chat systems. The work involves a blend of intensive research and production focus, integrating cutting-edge NLP experimentation with real-world, large-scale deployment.

Role Context and Collaboration

The Senior NLP Engineer will collaborate closely with multidisciplinary teams, including data, validation, and product specialists, to continuously refine model behavior and quality. This role offers the opportunity to influence the entire LLM lifecycle, from initial training and fine-tuning to deployment and optimization. Contributions will also shape the organization's NLP roadmap by staying abreast of the latest advancements in AI research and the open-source ecosystem. This is a fully remote position within a globally distributed engineering culture.

Key Responsibilities

  • Train, fine-tune, and optimize large language models for AI companion and conversational systems at scale.
  • Design, build, and maintain agentic frameworks, including agent harnesses, reasoning loops, and chat orchestration systems.
  • Manage the end-to-end LLM lifecycle, from data preparation and model training through to deployment and production monitoring.
  • Research and evaluate state-of-the-art NLP techniques, translating findings into actionable product roadmap improvements.
  • Implement and enhance alignment methods such as Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO).
  • Collaborate with validation, content, and data teams to design experiments and measure model quality and performance.
  • Contribute to the development of scalable backend systems supporting high-throughput model inference and production AI workloads.

Required Qualifications and Experience

  • Strong hands-on experience in training and fine-tuning large language models in production or research environments.
  • Proven experience in building agentic pipelines, LLM orchestration systems, or AI agent frameworks.
  • Deep understanding of transformer architectures, PyTorch, and modern NLP/ML libraries.
  • Solid knowledge of alignment techniques, including RLHF, DPO, and related post-training methodologies.
  • Background in backend or systems engineering, preferably using Python, with exposure to Go or C#, and experience with scalable deployment architectures.
  • Experience in AI-first companies or research-driven product teams, such as those focused on conversational AI or LLM startups, is desirable.
  • Strong analytical thinking and an experimentation mindset, with the ability to translate research findings into production-ready systems.
  • Experience with multimodal models (text, image, video), distributed training on large datasets, or CV-related model development is considered a plus.

Technical Skills

  • Large Language Models (LLMs)
  • Agentic Frameworks
  • LLM Lifecycle Management
  • NLP Techniques
  • Alignment Methods (RLHF, DPO)
  • Scalable Backend Systems
  • Transformer Architectures
  • PyTorch
  • Modern NLP/ML Libraries
  • Python, Go, or C#
  • Scalable Deployment Architectures
  • Conversational AI
  • LLM Startups
  • Analytical Thinking
  • Experimentation Mindset
  • Multimodal Models
  • Distributed Training
  • CV Model Development

Work Environment and Additional Information

This is a fully remote, full-time position. The role is based in Saudi Arabia. Jobgether utilizes an AI-powered matching process for application review, with the final decision and next steps managed by the hiring company.

Requirements

  • Requires +10 Years experience

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