Principal GenAI Engineer

2 hours ago


Bengaluru, Karnataka, India beBeeGeneral Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

**Visionary GenAI Architect Wanted**

We are seeking a highly skilled visionary to lead the design and deployment of cutting-edge Generative AI (GenAI) systems.

The ideal candidate will 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.

The successful candidate will be responsible for architecting and implementing GenAI-powered solutions for diverse use cases, including designing intelligent agents with capabilities like memory, tool use, and contextual orchestration.

They will also integrate embedding models, FAISS/Pinecone-based vector search, and knowledge retrieval systems, and lead model deployment using frameworks such as TGI, vLLM, or OpenLLM.

In addition, the candidate will build scalable, cloud-native architectures on AWS, GCP, or Azure, collaborate with cross-functional teams to design APIs and containerized services using Docker and Kubernetes, and evaluate LLM capabilities and limitations to guide solution design and implementation.

**Key Skills and Qualifications:**

  • Proven experience designing and implementing GenAI or LLM-based systems using Python
  • Strong expertise in Python, FAST API, AI, ML Concepts (Text Preprocessing, Vector Embedding, etc.)
  • Deep understanding of LLMs, including capabilities, limitations, fine-tuning, and prompt engineering
  • Strong grasp of agentic architecture principles, including tools, memory modules, and workflow orchestration
  • Hands-on experience with vector search technologies (e.g., FAISS, Pinecone) and embedding techniques
  • Practical experience deploying models with frameworks like TGI, vLLM, and OpenLLM
  • Proficiency in designing and deploying solutions in cloud environments (AWS, GCP, or Azure)
  • Expertise in API architecture and containerization using Docker and Kubernetes

**Preferred Qualifications:**

  • Experience with multimodal AI systems
  • Familiarity with privacy and ethical AI frameworks
  • Contributions to open-source GenAI projects

**Required Education:** B.Tech/M.Tech/MCA


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