AI Automation Engineer

As a Generative AI Specialist with 6-8 years of experience in AI ML engineering, data processing, and LLM Models, your role will involve designing, deploying, and optimizing AI agents using Large Language Models (LLMs) and complementary tools. It is essential to have a solid grounding in AI Engineering and MLOps. You will be working in an advanced technical environment that includes proficiency in Advanced Python, SQL programming, React, TypeScript, and Next.js for building intuitive user interfaces. Demonstrated expertise in integrating AI solutions into large-scale complex systems with a focus on scalability and operational efficiency is required. Key Responsibilities: - Architect and develop sophisticated AI agents leveraging LLMs and other Generative AI technologies to automate and optimize supply chain processes. - Fine-tune and adapt LLMs for specific industry use cases including instruction tuning embeddings and vector database integration. - Write efficient, clean, and production-ready Python code in accordance with best practices and organizational guidelines. - Build user-friendly and scalable UIs with React and TypeScript to enhance AI-driven tools. - Implement robust testing and automated pipelines to ensure solutions are scalable, maintainable, and reliable. - Lead efforts to minimize infrastructure costs and optimize system performance for AI-driven applications. Qualifications Required: - BE/B.Tech or ME/M.Tech with 6-8 years of experience in Software Development of large and complex enterprise applications. - Professional experience in data science, machine learning, or software development with a solid focus on AI agent workflows. - Experience in building and deploying AI agents using frameworks like LangChain, LlamaIndex, and Hugging Face. - Hands-on experience with LLM training, fine-tuning embeddings, and instruction tuning. - Proficiency in cloud platforms such as AWS, Azure, Google Cloud, and containerization using Docker and Kubernetes. - Solid background in traditional AI methodologies (e.g., classical machine learning, rule-based systems) to complement emerging agent-based solutions. - Demonstrates problem-solving and innovation ability. - Participates in company technical evaluations and coding challenges. This job opportunity does not provide additional details about the company. As a Generative AI Specialist with 6-8 years of experience in AI ML engineering, data processing, and LLM Models, your role will involve designing, deploying, and optimizing AI agents using Large Language Models (LLMs) and complementary tools. It is essential to have a solid grounding in AI Engineering and MLOps. You will be working in an advanced technical environment that includes proficiency in Advanced Python, SQL programming, React, TypeScript, and Next.js for building intuitive user interfaces. Demonstrated expertise in integrating AI solutions into large-scale complex systems with a focus on scalability and operational efficiency is required. Key Responsibilities: - Architect and develop sophisticated AI agents leveraging LLMs and other Generative AI technologies to automate and optimize supply chain processes. - Fine-tune and adapt LLMs for specific industry use cases including instruction tuning embeddings and vector database integration. - Write efficient, clean, and production-ready Python code in accordance with best practices and organizational guidelines. - Build user-friendly and scalable UIs with React and TypeScript to enhance AI-driven tools. - Implement robust testing and automated pipelines to ensure solutions are scalable, maintainable, and reliable. - Lead efforts to minimize infrastructure costs and optimize system performance for AI-driven applications. Qualifications Required: - BE/B.Tech or ME/M.Tech with 6-8 years of experience in Software Development of large and complex enterprise applications. - Professional experience in data science, machine learning, or software development with a solid focus on AI agent workflows. - Experience in building and deploying AI agents using frameworks like LangChain, LlamaIndex, and Hugging Face. - Hands-on experience with LLM training, fine-tuning embeddings, and instruction tuning. - Proficiency in cloud platforms such as AWS, Azure, Google Cloud, and containerization using Docker and Kubernetes. - Solid background in traditional AI methodologies (e.g., classical machine learning, rule-based systems) to complement emerging agent-based solutions. - Demonstrates problem-solving and innovation ability. - Participates in company technical evaluations and coding challenges. This job opportunity does not provide additional details about the company.