Pragmatike

Hive - AI Engineer

Pragmatike

Posted 10 hours ago

Employment Type

Full Time

Location

Dubai

Requirements

Software Engineering, AI/ML Systems, Python, ML Frameworks, LLM Architectures, Production AI, Engineering Mindset, Ownership Mentality

Required Skills

AI Infrastructure Cloud Computing GenAI Machine Learning Python PyTorch Transformers Diffusers RAG Systems Distributed Systems

Job Description

Responsibilities

  • Optimize model inference using advanced techniques including quantization (GPTQ, AWQ, GGUF), distillation, pruning, and speculative decoding
  • Build and integrate GenAI capabilities beyond LLMs, including computer vision, image generation (Stable Diffusion, FLUX), and multimodal models
  • Design and implement pre-processing and post-processing pipelines, including prompt engineering, structured output parsing, guardrails, and context management
  • Build RAG systems, embedding pipelines, and semantic retrieval architectures for enterprise AI applications
  • Drive model selection, benchmarking, and cost/performance trade-off decisions across AI services
  • Build evaluation frameworks to measure model quality, latency, reliability, and production performance
  • Build production AI systems that go beyond experimentation and notebooks, focusing on scalability, reliability, and maintainability
  • Collaborate closely with platform, infrastructure, and product teams to deliver integrated AI services
  • Contribute to AI platform architecture and long-term technical direction
  • Participate in the full lifecycle of AI systems, from research and prototyping to production deployment and operations

Requirements

  • 3+ years of software engineering experience with at least 1+ year focused on AI/ML systems
  • Hands-on experience with model optimization techniques including quantization, distillation, and fine-tuning
  • Strong Python skills and experience with modern ML frameworks (PyTorch, Transformers, diffusers)
  • Solid understanding of modern LLM architectures, inference patterns, and GenAI ecosystems
  • Experience building real production AI applications (not just research prototypes or notebooks)
  • Strong engineering mindset with focus on reliability, scalability, and maintainability
  • Ability to move fast while maintaining production-grade quality standards
  • Ownership mentality and comfort operating in early-stage, fast-moving environments

Preferred Qualifications

  • Experience with computer vision, image/video generation, or multimodal AI systems
  • Background in embedding models, vector databases, and semantic retrieval at scale
  • Familiarity with structured generation, function calling, agent frameworks, or orchestration systems
  • Experience with distributed systems, cloud-native platforms, or AI infrastructure
  • Exposure to cost-optimization strategies for large-scale AI inference systems

Benefits

  • Fully remote work from anywhere (EMEA timezone preferred)
  • Equipment budget to build your ideal technical workspace
  • Company offsites to connect with a highly technical international team
  • Career growth within a scaling engineering and AI organization
  • Work on cutting-edge distributed systems, AI infrastructure, and production GenAI platforms

About the Company

Our client is redefining cloud infrastructure through decentralization and advanced automation, offering a sovereign, energy-efficient alternative to hyperscale cloud providers. Youll join a deeply technical environment where architecture matters, performance is critical, and your decisions will directly shape the evolution of a complex, ambitious platform operating at the intersection of distributed systems, networking, and cloud infrastructure.

How to Apply

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