AGAPI is building conversational AI and backend services across NLP, LLM inference, and financial transaction systems. The stack spans PyTorch, TensorFlow, Hugging Face, and LLaMA/Mistral for model work, paired with TypeScript, Java, and MySQL for service layers. A deliberate shift from Node.js to Go signals architectural maturation toward concurrency-heavy microservices; active projects on payment wallets, RLHF, and data labeling suggest parallel investment in both customer-facing AI and internal ML infrastructure. Security and compliance hiring is present, and finance department growth indicates scaling operational rigor alongside engineering.
Notable leadership hires: Tech Lead
AGAPI is a privately held software and AI services firm based in Dubai, operating across 51–200 employees. The company delivers technical solutions centered on conversational AI platforms (customer support NLP/LLM models, generative AI with RLHF) and backend infrastructure (payment wallet microservices, analytics, data reliability). Engineering is the largest department, with mid-to-senior hiring velocity accelerating across Vietnam, UAE, Philippines, and Georgia. Active challenges include legacy system migration, concurrency optimization, and financial control compliance—patterns consistent with a company scaling both product capabilities and operational governance.
AGAPI deploys LLaMA, Mistral, BERT, and GPT with PyTorch, TensorFlow, Hugging Face Transformers, spaCy, and NLTK for NLP and LLM tasks. The stack also includes reinforcement learning from human feedback (RLHF) for model refinement.
Major projects include a conversational AI platform, customer support NLP/LLM models, payment wallet transaction microservices, backend architecture optimization, data labeling pipelines, and RLHF-based generative AI refinement.
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