About the role
Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Main tasks listed: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines; Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions; Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives; Translate business needs into scalable, production-ready AI solutions.
Experience
1+ years of hands-on experience in LLMs and Generative AI techniques; Experience contributing to ML/AI product pipelines or end-to-end deployments; Familiarity with MLOps and scalable deployment patterns for AI models; Prior exposure to client-facing projects or cross-functional AI teams
Selection process
Apply through the official Turing page (free account required). The listing does not describe further selection steps.
Eligibility
India (as stated on the listing)