Senior AI Engineer

Your Responsibilities Design, build, and deploy AI agents and agentic systems that become an integral part of our global SaaS products. Develop LLM-powered services and multi-agent architectures, enabling models, tools, and data sources to work together across complex workflows. Build, fine-tune, and deploy open-source LLMs and transformer-based models, including use cases such as intelligent search, entity resolution, information extraction, and document understanding. Design and operate RAG pipelines and AI services using structured and unstructured enterprise data. Take end-to-end ownership of AI solutions - from experimentation and model selection to deployment, monitoring, optimization, and production operation. Your Experience At least 5 years of professional experience in AI, Machine Learning, or AI Engineering. Strong proficiency in Python and hands-on experience building production-grade AI applications. Practical experience with LLMs and transformer-based models, ideally including open-source ecosystems such as Hugging Face. Hands-on experience building AI agents or agentic workflows; experience with multi-agent systems is highly valued. Experience with RAG, tool/function calling, structured outputs, and retrieval/search architectures. Experience taking AI applications beyond PoCs into production environments, including deployment, monitoring, scalability, and performance optimization. Nice to have: Experience fine-tuning or adapting LLMs/transformer models for specific domains or tasks. Experience self-hosting open-source models and working with GPU-based inference infrastructure. Experience with multilingual NLP and large-scale document processing. Experience working with enterprise, supply-chain, ESG, or compliance data.