Full Stack Machine Learning Engineer

At Aglint, we're transforming the recruitment field. Our objective is clear: assist companies in swiftly and efficiently locating the right candidates. Composed of a committed group of 13 experts, we're motivated by our joint conviction in the revolutionary impact of AI in recruitment. If you're excited about AI and what it offers, we'd like to engage with you. We are eagerly looking for a skilled Full Stack Machine Learning Engineer with an in-depth knowledge of JavaScript frameworks, particularly NextJs. If designing scalable, reliable, and speedy solutions stimulates you, we'd be delighted to welcome you to our team. Previous experience with Recruitment, ATS, or HRIS application design, along with insights into talent development platforms, will provide a significant edge. Join us as we collaboratively carve the future of recruitment. Requirements Responsibilities: - Lead the development and maintenance of AI-powered applications ensuring optimum performance and scalability. - Fine-tune LLMs (Language Models) to align with specific project requirements. - Design and implement custom models tailored to specific application needs. - Integrate and manage vector databases to support the backend infrastructure. - Design, develop, and optimize AI-based search engines to improve user experience and application functionality. - Collaborate with the product and data teams to ensure the best AI practices are implemented. - Continuously research and stay updated with the latest in AI and full-stack development to bring innovative solutions to the table. Minimum Qualifications: - Bachelor's degree in Computer Science from a reputed institute. - At least 4 years of experience in software development. - Proven experience in full-stack development. - Demonstrable expertise in fine-tuning LLMs. - Familiarity with building custom models for particular applications. - Hands-on experience with vector databases. - Proficient understanding of data structures. - Experience in designing and developing scalable AI-powered applications. Preferred Qualifications: - Master's degree or higher in Computer Science or related fields. - Certifications or courses related to AI, machine learning, or full-stack development. - Prior experience in leading AI projects or teams. - Familiarity with several vector databases and their integration into web applications. - Strong portfolio showcasing the development of AI-based search engines or similar applications. - Proficiency in modern web frameworks and libraries. Benefits - Competitive salary. - ESOP (Employee Stock Ownership Plan) options. - Collaborative work environment with a passionate team.