Sr Gen AI Developer

1 week ago

Bengaluru, India Ascendion Full time

Position Details: Job Title: Sr. Gen AI developer Experience: 3+ years Location Options: Bangalore / PUNE / GURGAON Job Details and Requirements: Sr. Gen AI developer We are seeking a highly skilled Senior GenAI Developer to join our innovative team. The ideal candidate will have a strong background in developing and deploying Generative AI applications in production, with a minimum of 2 years of experience. Additionally, the candidate should possess at least 3 years of experience in machine learning, artificial intelligence, or data science-related roles. Qualifications: Bachelor‘s or Master‘s degree in Computer Science or a related field. Candidate from top college will be appreciated. The successful candidate will be passionate about advancing the field of Generative AI and will thrive in a fast-paced environment. If you are ready to take on exciting challenges and contribute to groundbreaking projects, we encourage you to apply. Key Responsibilities: Design, develop, and implement Generative AI applications using state-of-the-art technologies. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Utilize vector databases to optimize data retrieval and management for AI models. Work with frameworks such as Langchain and OpenAI to build scalable AI solutions. Develop and maintain multi-agent systems that leverage function calling for enhanced inter-agent communication. Implement guardrails to ensure the ethical use of AI technologies and compliance with industry standards. Engage in LLMOps practices to streamline the lifecycle management of large language models (LLMs). Conduct thorough evaluations of LLM performance and effectiveness, providing insights for continuous improvement. Apply prompt engineering techniques to optimize model responses and enhance user interactions. Implement Retrieval-Augmented Generation (RAG) and Graph RAG strategies to improve the relevance and accuracy of generated content. Fine-tune LLMs based on specific project requirements and user feedback to enhance performance. Leverage Azure cloud services for deploying AI solutions, ensuring scalability and reliability. Contribute to backend development efforts, ensuring seamless integration of AI components with existing infrastructure. Oversee orchestration and deployment processes, ensuring that all systems operate efficiently and effectively. LLM inference frameworks such as vLLM, DeepSpeed, TensorRT

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