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10.0 - 12.0 years
0 Lacs
hyderabad, telangana, india
On-site
Key Responsibilities 1. Lead AI Engineering for All New Product Experiences Own front-end engineering for all new products, especially those built around conversational, guided, or generative AI UX. Define the UI/UX architecture for the AI assistant, ensuring capabilities like: conversational task execution proactive insights AI-driven workflows cross-product navigation Oversee design system, component libraries, and UX patterns for AI-native interfaces. 2. Build and Operate All AI Pipelines Architect and maintain the pipelines required for: LLM orchestration RAG and retrieval systems embeddings generation vector storage agent pipelines supervised and RLHF evaluation loops Ensure pipelines s...
Posted 3 weeks ago
2.0 - 6.0 years
0 Lacs
karnataka
On-site
Role Overview: You will be part of the team at Raven, a YC-backed startup dedicated to developing AI assistants for manufacturing plants. Your main focus will be on constructing AI-native applications and agents tailored for manufacturing workflows. You will work on building Python/Go backend services, enhancing multi-modal pipeline infrastructure, developing agent memory systems, designing AI orchestration layers, and rapid prototyping new AI workflows. Key Responsibilities: - Build Python/Go backend services that integrate with AI systems. - Enhance multi-modal pipeline infrastructure for effective management of various data types. - Develop agent memory systems using knowledge graphs and ...
Posted 4 weeks ago
2.0 - 6.0 years
0 Lacs
karnataka
On-site
Role Overview: You will be part of the Raven team, a YC-backed startup dedicated to developing AI assistants for manufacturing plants by leveraging manufacturing expertise combined with AI technology. Your key responsibilities will focus on constructing AI-native applications and agents tailored for manufacturing workflows. Key Responsibilities: - Building Python/Go backend services that integrate with AI systems seamlessly. - Enhancing multi-modal pipeline infrastructure for effective management of P&IDs, SOPs, sensor data, and technical documents. - Developing agent memory systems using knowledge graphs and event timelines. - Designing AI orchestration layers to facilitate decision-making ...
Posted 3 months ago
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