NLP & LLM Engineering Specialist Jobs UAE 2026

Birbal AI — a pioneering artificial intelligence and blockchain company dedicated to redefining ownership in the digital age through advanced AI, machine learning, blockchain, and data analytics — is seeking an experienced NLP & LLM Engineering Specialist for its UAE operations in Al Muwaij’i. This technically advanced hybrid role designs, develops, and optimises natural language processing pipelines and large language model (LLM) solutions that power Birbal AI’s digital ownership and finance platforms — applying Python, PyTorch, TensorFlow, transformers, embeddings, and prompt engineering, with MLOps proficiency for deployment and monitoring in cloud or containerised environments, in a company building India’s first digital stablecoin and a borderless, AI-driven financial ecosystem.

About Birbal AI — Redefining Digital Ownership Through AI

Mission: Redefining ownership in the digital age through advanced AI, blockchain, machine learning, and data analytics — creating smarter, data-driven models for individuals and businesses

Flagship Product: Birbal Coin — India’s first digital stablecoin — positioned to make finance more inclusive, secure, transparent, and community-driven at a global scale

Technology Pillars: Artificial Intelligence, blockchain, NLP, LLM engineering, and digital ownership platforms — operating at the intersection of AI and decentralised finance

Culture: Collaborative, inclusive, and innovation-driven — emphasising sustainability, scalability, and a workplace that fosters bold technical ambition

Why This NLP & LLM Engineering Specialist Role Stands Out

Digital Finance AI Frontier: Design NLP and LLM solutions for a company building India’s first digital stablecoin — the most ambitious and commercially significant intersection of AI and blockchain finance

Full LLM Lifecycle: Research, fine-tuning, API building, microservices, production deployment, monitoring, and continuous improvement — end-to-end NLP and LLM engineering ownership

Cross-Discipline Collaboration: Work with product, data science, and blockchain engineering teams — a uniquely broad cross-functional role across AI, fintech, and decentralised systems

Hybrid Flexibility: On-site collaboration in Al Muwaij’i with work-from-home flexibility — enabling focused deep NLP/LLM work alongside collaborative team engineering

Position Overview

This NLP & LLM Engineering Specialist at Birbal AI in UAE designs, develops, and optimises natural language processing pipelines and large language model solutions that power Birbal AI’s digital ownership and finance platforms. Day-to-day responsibilities include researching state-of-the-art NLP and LLM architectures, fine-tuning models on proprietary datasets, building robust APIs and microservices, integrating models into production systems with a focus on performance, reliability, and safety, collaborating with product, data, and blockchain engineering teams to translate business requirements into scalable AI solutions, conducting experiments, evaluating model performance using quantitative metrics, and implementing continuous improvements across the NLP and LLM pipeline from research through production deployment and monitoring.

Why This Role Matters: As NLP & LLM Engineering Specialist at Birbal AI in the UAE, you build the language intelligence layer of a digital financial ecosystem that aspires to be both borderless and inclusive — powering the AI models that help Birbal Coin users understand their digital assets, navigate financial products in natural language, and trust the system outputs that guide economic decisions. In a domain where hallucination is a financial risk, where bias in output affects trust, and where latency directly impacts user experience on a blockchain-based platform, the quality of your NLP pipeline design and LLM fine-tuning choices has consequences that extend well beyond the model evaluation dashboard.

Key Responsibilities

NLP Pipeline Design & LLM Architecture Research

  • Research state-of-the-art NLP and LLM architectures — staying current with transformer-based models, fine-tuning techniques, and emerging NLP methodologies relevant to digital ownership and fintech applications
  • Design and develop scalable natural language processing pipelines that power Birbal AI’s digital ownership and financial platforms — from text preprocessing through model inference and output post-processing
  • Fine-tune large language models on Birbal AI’s proprietary datasets — adapting foundation models to the specific domain vocabulary, tasks, and performance requirements of digital finance and ownership platforms
  • Design and apply embeddings and semantic representation strategies — enabling accurate semantic search, classification, and information extraction across Birbal AI’s digital knowledge and financial content

API Development, Production Integration & MLOps

  • Build robust APIs and microservices that expose NLP and LLM capabilities to downstream product and engineering teams — ensuring low-latency, high-reliability model serving for production digital finance applications
  • Integrate NLP and LLM models into production systems — with a consistent focus on performance, reliability, safety, and responsible AI considerations appropriate for financial technology platforms
  • Implement MLOps practices for model deployment, monitoring, and optimisation in cloud or containerised environments — applying Docker, CI/CD pipelines, and model observability tooling to maintain production quality
  • Design and execute model evaluation experiments using quantitative metrics — measuring accuracy, latency, safety, and business-relevant performance criteria across the NLP and LLM system suite

Cross-Team Collaboration, Continuous Improvement & Documentation

  • Collaborate closely with product, data science, and blockchain engineering teams — translating business requirements from the digital ownership and Birbal Coin platforms into technically rigorous NLP and LLM solutions
  • Implement continuous improvements to NLP pipelines and LLM systems — applying prompt engineering refinements, model updates, and architectural enhancements as the platform scales and user requirements evolve
  • Communicate complex NLP and LLM technical concepts clearly to diverse stakeholders — producing high-quality technical documentation, experiment reports, and cross-functional presentations
  • Apply ethical AI, security, and privacy considerations — particularly important in a blockchain-based fintech context where user data sensitivity and output reliability are business-critical requirements

Qualifications & Required Skills

Essential Requirements

  • Bachelor’s or Master’s Degree in Computer Science, Data Science, Artificial Intelligence, or a closely related technical field — preferred
  • Hands-on experience with NLP and LLMs — including Python, deep learning frameworks (PyTorch, TensorFlow), transformers, embeddings, and prompt engineering in production environments
  • Familiarity with MLOps practices — model deployment, monitoring, and optimisation in cloud or containerised (Docker/Kubernetes) environments
  • Strong communication skills for cross-functional collaboration, technical documentation, and presenting NLP/LLM concepts to diverse stakeholder groups
  • Excellent analytical skills — problem-solving, data-driven decision-making, and model evaluation using quantitative performance metrics
  • Solid project management capability — planning, prioritising, and delivering NLP and LLM initiatives on time and within scope

Preferred Qualifications

  • Experience working with blockchain-based or fintech products — understanding of how NLP/LLM capabilities integrate with decentralised finance or digital asset platforms
  • Understanding of security, privacy, and ethical AI considerations — particularly as applied to AI systems in financial services contexts
  • Background in Mechanical Engineering or Manufacturing Engineering with experience applying AI to industrial or physical systems — domain knowledge considered a plus
  • Experience with RAG architectures, knowledge retrieval systems, or conversational AI platforms for fintech applications

About Birbal AI — Building the Future of Digital Ownership

Birbal AI is dedicated to redefining ownership in the digital age through advanced artificial intelligence, blockchain, machine learning, and data analytics. Focused on creating smarter, data-driven models that help individuals and businesses manage and benefit from ownership of assets, knowledge, and digital resources, Birbal AI’s flagship product — Birbal Coin, positioned as India’s first digital stablecoin — aims to make finance more inclusive, secure, transparent, and community-driven at a global scale. Joining Birbal AI means contributing to the future of digital ownership and a borderless, AI-driven financial ecosystem — with NLP and LLM engineering playing a central role in making those ambitions technically real and user-accessible for the communities Birbal AI serves worldwide.

Career Excellence: Build NLP pipelines and fine-tune LLMs powering India’s first digital stablecoin — Python, PyTorch, transformers, and MLOps at Birbal AI UAE.

Who Should Apply?

  • NLP & LLM Engineers — Production Experience: With hands-on Python, PyTorch, TensorFlow, HuggingFace Transformers, and embeddings experience — building and deploying NLP pipelines in production environments
  • LLM Fine-Tuning Specialists: With experience fine-tuning foundation models on domain-specific datasets — adapting transformer architectures to finance, digital ownership, or related specialist domains
  • MLOps-Proficient AI Engineers: With cloud or containerised deployment, model monitoring, and ML CI/CD pipeline experience — ensuring NLP/LLM systems perform reliably at scale in production
  • Fintech & Blockchain AI Engineers: With experience integrating AI/NLP capabilities into financial technology, digital asset, or blockchain-based platforms — understanding domain-specific data sensitivity and reliability requirements
  • UAE-Based AI/NLP Specialists: Available for hybrid work in Al Muwaij’i UAE — combining on-site collaboration with the deep-work flexibility needed for complex NLP architecture and LLM fine-tuning work

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