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Urgent! GenAI Technical Architect Job Opening In Bengaluru – Now Hiring HR Inputs

GenAI Technical Architect



Job description

<p><p><b>Job Description : </b><br/><br/></p><p>We are seeking a visionary GenAI Technical Architect to lead the design and deployment of cutting-edge Generative AI (GenAI) and Large Language Model (LLM)-based systems.

Youll play a pivotal role in shaping intelligent applications, creating agentic systems, and orchestrating scalable solutions that unlock new frontiers in human-computer interaction and enterprise : </b></p><p><br/></p>- Architect and implement GenAI and LLM-powered solutions for diverse use cases<br/><br/></p><p>- Design intelligent agents with capabilities like memory, tool use, and contextual orchestration<br/><br/></p><p>- Integrate embedding models, FAISS/Pinecone-based vector search, and knowledge retrieval systems<br/><br/></p><p>- Lead model deployment using frameworks such as TGI, vLLM, or OpenLLM<br/><br/></p><p>- Build scalable, cloud-native architectures on AWS, GCP, or Azure<br/><br/></p><p>- Collaborate with cross-functional teams to design APIs and containerized services using Docker and Kubernetes<br/><br/></p><p>- Evaluate LLM capabilities and limitations to guide solution design and implementation<br/><br/></p><p>- Define GenAI best practices and contribute to internal knowledge-sharing Skills : </b></p><p><br/></p>- Proven experience designing and implementing GenAI or LLM-based systems using Python.<br/><br/></p><p>- Good expertise in Python, FAST API, AI,ML Concepts (Text Preprocessing, Vector Embedding, etc..)<br/><br/></p><p>- Deep understanding of LLMsincluding capabilities, limitations, fine-tuning, and prompt engineering<br/><br/></p><p>- Strong grasp of agentic architecture principles, including tools, memory modules, and workflow orchestration<br/><br/></p><p>- Hands-on experience with vector search technologies (e.g., FAISS, Pinecone) and embedding techniques<br/><br/></p><p>- Practical experience deploying models with frameworks like TGI, vLLM, and OpenLLM<br/><br/></p><p>- Proficiency in designing and deploying solutions in cloud environments (AWS, GCP, or Azure)<br/><br/></p><p>- Expertise in API architecture and containerization using Docker and Kubernetes<br/><br/></p><p>- Excellent communication skills and a collaborative Skills : </b></p><p><br/></p>- Experience with multimodal AI systems<br/><br/></p><p>- Familiarity with privacy and ethical AI frameworks<br/><br/></p><p>- Contributions to open-source GenAI : </b>B.Tech/M.Tech/MCA</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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