Chief Intelligent Systems Architect

4 days ago

Bengaluru, Karnataka, India beBeeGenAISpecialist Full time ₹ 25,00,000 - ₹ 40,00,000

Job Title:

Senior GenAI and Agentic AI Specialist

As a Senior GenAI and Agentic AI Specialist, you will play a pivotal role in shaping the future of intelligent systems. You will lead the development, deployment, and optimization of Generative AI and Agentic AI architectures, pushing the boundaries of what is possible with these technologies.

Key Responsibilities:
  • Architect, prototype, and deploy agentic AI systems capable of reasoning, planning, memory, and self-refinement.
  • Fine-tune and deploy LLMs (e.g., GPT, Claude, LLaMA, Mistral) for specific tasks like text, image, or code generation.
  • Integrate multi-modal models (e.g., vision-language, speech-text) for richer agent interactions.
  • Build AI agents that can independently plan, execute, and monitor workflows across tools and platforms (e.g., APIs, browsers, CLIs).
  • Develop agent memory, reflection, and context-awareness mechanisms.
  • Work with and contribute to agent frameworks like LangChain, AutoGPT, CrewAI, MetaGPT, OpenAgents, or custom-built systems.
  • Optimize model performance, latency, and cost using techniques like LoRA, RAG, distillation, and quantization.

Requirements:

Must-Have Skills:

  • Strong foundation in machine learning, deep learning, NLP, and modern LLM architectures.
  • Hands-on experience with transformers, RAG pipelines, prompt engineering, and chain-of-thought reasoning.
  • Demonstrated ability to build or integrate agent frameworks for automation and intelligent task handling.
  • Proficiency in Python, PyTorch, Hugging Face Transformers, and agent libraries like LangChain or CrewAI.
  • Deep understanding of vector databases, retrieval systems, and context enrichment strategies.

Preferred Qualifications:

  • Experience in multi-agent systems, reinforcement learning, or hierarchical planning.
  • Familiarity with orchestration tools (e.g., Prefect, Airflow, Ray) for large-scale agent deployment.
  • Knowledge of observability and agent monitoring tools.
  • Contributions to open-source GenAI or agentic AI projects.

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