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Experience: 3+ yrs
Location: Bengaluru

We are looking for a skilled and cutting-edge AI/ML Engineer to build and scale intelligent AI systems focused on Large Language Models (LLMs), conversational AI, long-term memory, and personalization. The role involves developing advanced retrieval systems, adapting open-source models, and building domain-specific AI capabilities that deliver context-aware, accurate, and personalized user experiences.
The ideal candidate will combine strong Python programming skills with hands-on expertise in LLM engineering, Retrieval-Augmented Generation (RAG), vector databases, model fine-tuning, and production deployment.

Key Responsibilities
• Design and develop conversational AI systems with contextual understanding, long-term memory, and personalised response generation.
• Build and optimise RAG pipelines using embeddings, vector databases, structured data, and knowledge retrieval techniques.
• Develop memory systems for user profiling,



information extraction, relevance scoring, retrieval, ranking, and context selection.
• Integrate, deploy, and fine-tune open-source LLMs for specific product and domain requirements.
• Develop specialised Small Language Models (SLMs) to support domain-specific reasoning and improve response quality.
• Create domain-specific datasets and training pipelines for fine-tuning, model adaptation, and continuous learning.
• Implement LLM orchestration, prompt engineering, classification, ranking, and lightweight machine learning workflows.
• Build evaluation frameworks to measure retrieval relevance, memory accuracy, reasoning quality, response consistency, and overall model performance.
• Optimise inference latency, compute utilisation, model reliability, and deployment costs.
• Develop and maintain model-serving APIs, automated tests, monitoring systems, and production deployment workflows.
• Investigate AI

📌 AI/ML Engineer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru