Posted Jun 18, 2026 438 views
Join Recruit AI as a Full Stack AI Engineer where you will be instrumental in developing and deploying comprehensive AI solutions that leverage cutting-edge machine learning techniques and large language models. In this role, you will work extensively with natural language processing to build intelligent systems capable of understanding and generating human language. You will take charge of end-to-end development, from designing and implementing scalable data pipelines to integrating AI models with front-end and back-end technologies, ensuring seamless and efficient AI-powered applications.
This position requires a professional with at least 2 years of experience in building and deploying AI systems, with a strong foundation in machine learning and NLP. While you will not manage a team, collaboration across interdisciplinary teams will be critical to success. You will focus on solving complex problems by creating robust data workflows and ensuring that AI models are production-ready, scalable, and maintain high performance. Your expertise will contribute significantly to advancing Recruit AI’s innovative technology solutions.
Responsibilities
Key Responsibilities
• Design and implement end-to-end machine learning solutions to process and analyze large-scale datasets efficiently
• Build robust data pipelines for high-volume data ingestion, transformation, and storage
• Create advanced reporting systems and dashboards powered by AI to deliver actionable insights
• Develop and deploy custom AI/ML models tailored to business requirements, including LLMs and generative AI solutions
• Leverage frameworks like LangChain, LlamaIndex, and Hugging Face to implement and fine-tune large language models
• Build systems to automate data-driven decision-making using predictive analytics and recommendation engines
• Monitor, troubleshoot, and optimize AI/ML models in production environments
• Collaborate with cross-functional teams to identify opportunities to enhance reporting and analytics capabilities with AI
• Ensure scalability, reliability, and security in handling vast amounts of data
• Maintain comprehensive documentation for data workflows, AI systems, and reporting tools
Skills
Recruit AI
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