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Gen AI / LLM Engineer at Weekday AI. This role is for one of the Weekday's clients. Salary range: Rs 800000 - Rs 2000000 (ie INR 8-20 LPA). Min Experience: 5 years. Location: Remote (India). JobType: full-time. We are seeking a highly skilled Gen AI / LLM Engineer with hands-on experience in designing, building, and deploying applications powered by Large Language Models. This role focuses on end-to-end development of scalable GenAI solutions using modern frameworks, cloud platforms, and best practices in responsible AI.. Key Responsibilities. Design, develop, and deploy LLM-driven applications such as chatbots, copilots, autonomous agents, and Retrieval-Augmented Generation (RAG) systems. . Work with state-of-the-art models including OpenAI, Azure OpenAI, Anthropic, LLaMA, Mistral, or equivalent open-source and commercial LLMs. . Implement prompt engineering, prompt optimization, and systematic evaluation techniques to improve output quality. . Build and manage RAG pipelines using vector databases for efficient information retrieval. . Integrate LLM-based solutions with backend services, APIs, and existing systems. . Fine-tune and optimize models to improve accuracy, latency, and cost efficiency. . Ensure data security, compliance, and adoption of responsible AI practices. . Collaborate closely with product, data, and engineering teams to deliver production-ready AI solutions. . Required Skills & Experience. Strong proficiency in Python for AI and backend development. . Practical experience working with LLMs and Generative AI concepts. . Hands-on experience with frameworks such as LangChain, LlamaIndex, or Semantic Kernel. . Knowledge of vector databases including Pinecone, FAISS, Chroma, Weaviate, or Milvus. . Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP. . Solid understanding of REST APIs and microservices architecture. . Familiarity with containerization and orchestration tools like Docker and Kubernetes (preferred). . Good to Have. Experience with model fine-tuning techniques such as LoRA and PEFT. . Exposure to MLflow, monitoring, and LLM evaluation frameworks. . Experience building or working with multi-agent systems. . Frontend integration experience using tools such as React, Streamlit, or Gradio. . Why Join. Opportunity to work on cutting-edge Gen AI and LLM technologies. . Hands-on involvement in building scalable, real-world AI solutions. . Skills. Gen AI / LLM . MLOps . Python . AWS / Azure . SQL . LangChain . Retrieval-Augmented Generation (RAG). Company Location: India.