Generative AI Engineer

1 week ago

Nagpur, India TIGI HR Full time

Required skills - 9+ years of professional experience in building Machine Learning models & systems - 2+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents. - Experience in driving the engineering team toward a technical roadmap. - Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must. - Understanding of Cloud services, including Azure, GCP, or AWS - Excellent communication skills to effectively collaborate with business SMEs Roles & Responsibilities - Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. - Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices. - Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes. - Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products. - Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. - Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

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