Artificial Intelligence Engineer

Company: Neura Dynamics Private Limited Website: Visit Website Business Type: Startup Company Type: Product & Service Business Model: B2B Funding Stage: Pre-seed Industry: Generative AI Job Description About the company: Neura Dynamics is an AI innovation company building the next generation of intelligent systems. We work at the intersection of Generative AI, RAG (Retrieval-Augmented Generation), and AI Agents to create real-world, scalable solutions powered by cutting-edge research. Our mission is to bridge the gap between cutting-edge research and practical implementation, helping organizations transform innovative AI capabilities into measurable outcomes. We value curiosity, initiative, and hands-on problem-solving?encouraging every team member to think boldly and build fearlessly. About The Role We are seeking a highly motivated AI Engineer with hands-on experience in Generative AI, Retrieval-Augmented Generation (RAG), AI Agents, Language Models and Python. The ideal candidate will be passionate about building scalable AI solutions, experimenting with cutting-edge models, and deploying real-world applications that add measurable business value. Key Responsibilities Design, develop, and deploy Generative AI applications. Build and optimize RAG pipelines for knowledge-driven conversational and analytical systems. Develop and manage AI Agents capable of autonomous task execution and decision-making. Implement production-grade solutions in Python, ensuring scalability and reliability. Collaborate with cross-functional teams to translate business needs into AI-powered solutions. Design and run evaluations for the performance of AI pipelines. Stay updated with the latest research and advancements in LLMs, GenAI, and AI Agents. Contribute to model evaluation, fine-tuning, and continuous improvement. Required Skills & Qualifications Minimum 2 years of professional experience in AI/ML development. Proven experience with Generative AI and evaluations. Strong expertise in Python and AI/ML frameworks (e.g., LangChain). Hands-on experience in RAG implementation (vector databases, embeddings, semantic search). Experience with data pre-processing for various data types (structured, unstructured) to prepare them for LLM integration. Practical knowledge of AI Agents frameworks and orchestration tools. Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML deployment. Solid problem-solving skills and ability to work in fast-paced environments. What We Offer Remote work with flexible working hours. Opportunity to work on cutting-edge AI projects in Generative AI and autonomous systems. A collaborative and innovation-driven environment. Competitive compensation and growth opportunities. Exposure to real-world AI applications across diverse industries.