About Us : At Signet Arms, we are at the forefront of AI innovation, developing cutting-edge solutions to solve complex challenges. As part of our ongoing growth, we are looking for a skilled AI Engineer with expertise in Large Language Models (LLMs), AI agent deployment, and frontend deployment. If you have a passion for building and deploying AI-powered solutions with seamless integrations, this is your opportunity to make a real impact. Job Description: We are seeking an AI Engineer who will take on the responsibility of developing wrappers, fine-tuning, and deploying AI agents using advanced LLMs (e.g., GPT, BERT). In addition, the ideal candidate will have hands-on experience with frontend deployment, ensuring that our AI solutions are integrated effectively with user interfaces for a smooth user experience. You will play a crucial role in bridging the backend AI models with user-facing applications, making sure that everything runs seamlessly both behind the scenes and in the user interface. Key Responsibilities : Develop wrappers for large language models (LLMs) to enable seamless integration with various applications. Fine-tune pre-trained LLMs to improve performance for specific tasks and business use cases. Deploy AI agents in production environments, ensuring scalability, reliability, and performance. Collaborate with cross-functional teams to identify requirements and design custom AI solutions. Optimize AI models for real-time performance and scalability. Collaborate with frontend developers to integrate AI-powered functionalities into user-facing applications. Work with UI/UX teams to ensure smooth deployment of AI-powered solutions on web and mobile platforms. Ensure seamless data flow between the backend AI systems and frontend interfaces. Assist in frontend deployment activities using technologies such as React, Angular, or Vue.js. Research and experiment with new AI techniques and models to stay at the forefront of the field. Optimize deployment pipelines and automate workflows. Monitor AI agent performance, conduct evaluations, and implement improvements. Write and maintain detailed documentation of models, code, and deployment processes. Present findings and updates to both technical and non-technical stakeholders. Required Qualifications: • A Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • Strong experience with large language models (LLMs) such as GPT, BERT, T5, etc. • Strong proficiency in Python and experience with machine learning frameworks like TensorFlow, PyTorch, Hugging Face, or similar. • Expertise in developing and fine-tuning machine learning models, particularly NLP models. • Experience deploying machine learning models at scale using tools like Docker, Kubernetes, or cloud services (AWS, GCP, Azure). • Familiarity with model optimization techniques (e.g., pruning, quantization, distillation). • Strong frontend development experience with technologies such as React, Angular, or Vue.js. • Experience integrating APIs and connecting frontend interfaces with backend AI systems. • Strong understanding of web deployment processes and cloud-based infrastructures. • Excellent problem-solving skills, with the ability to troubleshoot both frontend and backend issues. Preferred Qualifications : • A proven track record of publications in high-impact international conferences (e.g., NeurIPS, ICML, ACL) or journals. • Experience with reinforcement learning or multi-agent systems. • Familiarity with research methodologies and the ability to contribute to advancing the state-of-the-art in AI. • Experience with AI model interpretability and explainability. • Contributions to open-source AI projects. • Familiarity with containerization and orchestration technologies (Docker, Kubernetes) for both frontend and backend deployments. Why Join Us? • Be part of an innovative and forward-thinking team that is redefining the future of AI. • Work on exciting, high-impact AI projects in an onsite, collaborative environment in Rewa, Madhya Pradesh. • Opportunities for career growth and continuous learning in a fast-paced, dynamic field. • Competitive salary and benefits package. • Flexible work hours and the chance to work with cutting-edge technologies. How to Apply: Please send your resume, cover letter, and any relevant publication links to info@signetarms.co. We are excited to learn more about how you can contribute to Signet Arms’ vision!