At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Sr System Engineer Grade: IT3 Location: Noida, India Job Type: Full-time Experience: 7-10 years Job Description: We are seeking a highly skilled Generative AI Developer with 7 to 10 years of experience to join our team. The ideal candidate will have extensive experience in working with large language models (LLMs) such as Llama, ChatGPT, and other similar models. They should be proficient in the Langchain framework and have hands-on experience with vector databases like FASIS. Additionally, the candidate should have implemented Retrieval-Augmented Generation (RAG) techniques and have good proficiency in prompt engineering. Key Responsibilities: + Design, develop, and implement generative AI models and algorithms. + Work with LLMs such as Llama, ChatGPT, and other similar models to create new data samples, patterns, or content. + Utilize the Langchain framework to build and optimize generative AI applications. + Implement and manage vector databases like FASIS and other similar databases. + Develop and implement RAG techniques to enhance the performance and accuracy of AI models. + Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. + Conduct research and stay updated with the latest advancements in generative AI and machine learning technologies. + Provide technical guidance and mentorship to junior developers. Qualifications: + Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. + 7-10 years of experience in AI/ML development, with a focus on generative AI. + Proficiency in working with LLMs such as Llama, ChatGPT, and other similar models. + Hands-on experience with the Langchain framework. + Experience with vector databases like FASIS and other similar databases. + Proficiency in prompt engineering + Proven track record of implementing RAG techniques. + Experience with Cosine similarity search + Strong programming skills in Python, TensorFlow, PyTorch, or similar frameworks. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Preferred Skills: + Experience with cloud platforms such as AWS, Azure, or Google Cloud. + Familiarity with reinforcement learning and human feedback mechanisms. + Knowledge of data privacy and security best practices in AI development. We’re doing work that matters. Help us solve what others can’t. Additional Jobs (https://cadence.wd1.myworkdayjobs.com/addl\_jobs) Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. 
 Our shared passion for solving the world’s toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class. Cadence is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.