Data Engineer

Cloud Employee, is a UK-owned Philippines business established 8 years ago. We connect high-performing software engineer talent in the Philippines with some of the world’s leading and most innovative tech companies. Developers join to work from the Philippines as part of international engineering teams and grow their CV and skill-set. 

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We pride ourselves on being a supportive, cutting-edge workplace that continuously invests in staff development, engagement, and well-being. We provide security, career paths, individual training programs, and mentoring.

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We are looking for an experienced Data Engineer with deep expertise in Large Language Models (LLMs) to design and deploy cutting-edge AI systems. The ideal candidate will work on building intelligent agentic systems, optimizing LLM performance, and ensuring responsible AI practices. This role is perfect for someone who thrives in solving complex challenges in modern AI development and is eager to push the boundaries of what LLMs can do.

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A European-based software development company specializes in creating custom web and mobile applications, project planning, and data analysis. Established in 2014, the company focuses on delivering high-end software products using the latest technologies. Their goal is to help clients create their own digital world through pristine and elegant solutions, flawless code, and client-centered processes.

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• Design, develop, and deploy Large Language Model (LLM) applications using models such as GPT-4, Claude, Llama, and Mistral
• Build agentic AI systems capable of complex reasoning, tool use, and autonomous decision-making
• Implement prompt engineering techniques to improve LLM accuracy and reduce hallucinations
• Develop domain-specific retrieval-augmented generation (RAG) systems
• Create evaluation frameworks for benchmarking LLM performance and fine-tuning
• Design and orchestrate multi-agent workflows in AI systems
• Optimize AI inference for cost-effectiveness and performance
• Build APIs and interfaces that enable AI agent interaction with external systems
• Integrate and manage vector databases to support semantic search capabilities
• Apply responsible AI practices with a focus on safety, bias mitigation, and alignment

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• 3+ years of experience in AI/ML engineering, with at least 1 year working with modern LLMs
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Hugging Face
• Experience integrating LLM APIs (OpenAI, Anthropic, etc.)
• Strong grasp of prompt engineering and context management
• Experience working with vector databases like Pinecone, Weaviate, Qdrant, or Chroma
• Familiarity with embedding models and implementing semantic search
• Knowledge of RAG architecture and implementation
• Experience with containerization and deployment (Docker, Kubernetes)

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• Experience with multi-agent systems and agent communication protocols
• Knowledge of LLMOps tools and practices
• Backend development experience with FastAPI
• Background in NLP and traditional ML techniques
• Contributions to open-source LLM projects

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• Innovative mindset – capable of building cutting-edge AI/LLM systems and exploring novel agentic architectures
• Analytical thinking – able to evaluate and benchmark LLM performance effectively
• Attention to detail – especially important in prompt engineering and reducing LLM hallucinations
• Problem-solving skills – required for optimizing inference performance and designing scalable systems
• Communication and collaboration – needed when creating interfaces and working on complex AI workflows
• Proactiveness – ability to contribute to open-source projects and stay up to date with AI advancements
• Responsibility and ethics – important for implementing safe and aligned AI systems

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• Competitive Salary.
• Benefits package include HMO, training allowance, gym or food allowance, educational assistance for dependents, and more.
• An annual salary increase, as laid out in the contract.
• Free food and drinks provided during virtual events.
• Company trips

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