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Urgent! Lead AI Engineer - Data Modeling Job Opening In Bengaluru – Now Hiring whitetable.ai

Lead AI Engineer Data Modeling



Job description

<p><p>Job Title : AI Engineer / Sr. AI Engineer (59 Years Experience)<br/><br/>Location : Bangalore (Hybrid)<br/><br/>Type : Overview : </b></p><p><br/></p><p>Were looking for a highly skilled AI Engineer or Senior AI Engineer with 4 - 6 years of experience to join a fast-moving team building cutting-edge agentic systems powered by generative AI.

In this role, you'll be responsible for designing, developing, and deploying autonomous agents capable of reasoning, decision-making, and interacting with dynamic environments.</p><br/>Youll work on building a platform to develop, test, and deploy these intelligent agents - combining generative AI, reinforcement learning, multi-agent systems, and multimodal intelligence.

This is an opportunity to shape the future of agent-based AI systems in a fast-paced, collaborative startup environment.<br/><br/><b>Key Responsibilities : </b></p><p><br/></p><p>- Design and build autonomous agentic systems for real-world tasks.<br/><br/></p><p>- Work with large language models (LLMs), reinforcement learning frameworks, and simulation environments.<br/><br/></p><p>- Develop scalable platforms and infrastructure to support agent development and deployment.<br/><br/></p><p>- Collaborate across engineering, research, and product teams to prototype and productionize novel AI capabilities.<br/><br/></p><p>- Integrate multimodal inputs (text, vision, speech) into agent workflows.<br/><br/></p><p>- Optimize AI models for edge deployment and resource-constrained environments.<br/><br/><b>Requirements : </b></p><p><br/></p><p>- Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields.<br/><br/></p><p>- Proven experience building agentic or autonomous AI systems.<br/><br/></p><p>Deep understanding of : <br/><br/>- Generative AI (LLMs like GPT, Claude, LLaMA)<br/><br/>- Reinforcement Learning<br/><br/>Multi-agent systems : </p><p><br/></p><p>- Hands-on experience with frameworks like LangChain, LlamaIndex, Hugging Face, etc.<br/><br/></p><p>- Experience working with simulation environments for agent training and testing.<br/><br/></p><p>- Familiarity with NLP and computer vision, especially for multimodal AI.<br/><br/></p><p>- Exposure to Vision-Language Models (VLMs) and advanced multimodal architectures.<br/><br/></p><p>- Knowledge of deploying AI models on edge devices or in low-latency environments.<br/><br/></p><p>- Self-driven, adaptable, and comfortable in an early-stage/startup setup.<br/><br/>Experience : 5 to 9 years</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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