AI Engineer

Role Overview: You are required to have a strong background in Python programming, database management, and data science methodologies. Prior experience with conversational AI systems or chatbot development is highly desirable. You should possess strong research and analytical skills, along with sound knowledge of Deep learning, transformer, GANs, VAEs, and LLM. Proven experience in natural language processing, prompt engineering, or similar roles is essential. Proficiency in programming languages such as Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, spaCy) is required to excel in this role. Key Responsibilities: - Prompt Development: - Design and develop creative and effective prompts for natural language understanding - Collaborate with software engineers and data scientists to integrate prompts into conversational interfaces - Prompt Optimization: - Continuously iterate and refine prompts to improve the quality and performance of the conversational AI system - Analyze user interactions and feedback to identify areas for prompt enhancement and adjust them accordingly - Data Analysis: - Analyze user interactions, model outputs, and performance metrics and feedback to continuously improve prompt-based systems - Utilize data-driven insights to enhance the effectiveness and efficiency of the prompt engineering process - Algorithm Optimization: - Work on optimizing algorithms for prompt generation and response to improve system performance - Stay updated on the latest advancements in natural language processing and integrate innovative techniques into prompt engineering - Collaboration: - Collaborate with cross-functional teams, including software developers, data scientists, and UX designers, to ensure a seamless integration of prompt systems into products - Quality Assurance: - Prompt Testing and Evaluation: - Conduct thorough testing and evaluation of prompts to assess their effectiveness and efficiency - Analyze the generated responses, identify areas for improvement, and iterate on the prompts to enhance performance - Address and resolve any issues related to prompt performance and user experience Qualification Required: - Minimum 2-5 years of strong background in Python programming, database management, and data science methodologies - Prior experience with conversational AI systems or chatbot development is highly desirable - Strong research and analytical skills - Sound knowledge of Deep learning, transformer, GANs, VAEs, and LLM - Proven experience in natural language processing, prompt engineering, or similar roles - Proficiency in programming languages such as Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, spaCy) Additional Details: GlobalLogic is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, GlobalLogic has been at the forefront of the digital revolution, collaborating with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. The company prioritizes a culture of caring, continuous learning and development, interesting and meaningful work, balance and flexibility, and is known for being a high-trust organization with integrity as a cornerstone of its value proposition to employees and clients.,