LLM Engineer in UNITED ARAB EMIRATES

Company Description

Alluvify is a technology consulting firm dedicated to helping organizations become data-driven and automation-enabled. We specialize in designing and building modern data and automation platforms, turning raw data into actionable insights and streamlining processes. Our collaborative approach ensures tailored solutions that drive measurable outcomes. Combining deep technical expertise with a passion for solving complex business problems, Alluvify empowers organizations to innovate with confidence and adapt to change with agility. Partnering with Alluvify means gaining a trusted advisor committed to modernizing operations, improving efficiency, and making smarter decisions.


About the Role

We are seeking a skilled LLM Engineer with 4–6 years of hands-on experience in building, fine-tuning, and deploying large language models (LLMs) for one of our Dubai based clients. This is an onsite role at Dubai. Visa sponsorship will be provided. The ideal candidate has a strong background in machine learning, deep learning frameworks, and modern NLP techniques, and can bridge the gap between research and production-ready AI applications.

You will be responsible for designing and implementing advanced LLM solutions, optimizing performance for real-world use cases, and collaborating with product and engineering teams to integrate models into scalable systems.


Key Responsibilities

Model Development & Fine-Tuning-

• Train, fine-tune, and evaluate large language models (LLMs) for domain-specific tasks.
• Implement techniques such as instruction tuning, RLHF (Reinforcement Learning with Human Feedback), and parameter-efficient fine-tuning (LoRA, PEFT).
  
  

System Integration & Deployment-

• 
  Build APIs and pipelines to integrate LLMs into production environments.
• Optimize inference performance for low-latency and cost-effective deployments

.

Research & Innovatio

• n
  Stay updated with cutting-edge advancements in generative AI, transformers, embeddings, and multi-modal model
• s.Experiment with model compression, quantization, and retrieval-augmented generation (RAG

).

Collaborati

• on
  Work with product managers, data engineers, and software developers to translate business requirements into AI solutio
• ns.Mentor junior engineers and contribute to best practices in model lifecycle manageme

nt.

Required Qualificati

• ons
  Bachelor’s/Master’s degree in Computer Science, AI, Machine Learning, or related fi
• eld.4–6 years of experience in ML/AI with at least 2–3 years of hands-on NLP/LLM w
• ork.Strong programming skills in Python and experience with frameworks such as PyTorch, TensorFlow, Hugging Face Transform
• ers.Proven expertise in fine-tuning, prompt engineering, embeddings, and evaluation of L
• LMs.Experience deploying ML models in cloud environments (AWS, GCP, Azure) and using tools like Docker, Kuberne
• tes.Solid understanding of data preprocessing, tokenization, and vector databases (e.g., Pinecone, Weaviate, FAI

SS).

Preferred Qualificat

• ions
  Experience with RAG pipelines, multi-modal LLMs, or open-source models (LLaMA, Falcon, Mistral, e
• tc.).Familiarity with LangChain, LlamaIndex, or other orchestration framew
• orks.Background in MLOps, CI/CD for ML, and monitoring of deployed mo
• dels.Publications, open-source contributions, or prior work on real-world LLM deploym

ents.

What We Offer

Opportunity to work on cutting-edge generative AI applications.

Collaborative and fast-paced environment with cross-functional exposure.

Competitive compensation and benefits package.

Learning and development opportunities, with access to latest AI research and tools.