AI Systems Architect

2 weeks ago

Bharatpur, Rajasthan, India beBeeArtificial Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

At the forefront of artificial intelligence, we seek a visionary AI Engineer to drive innovation and growth in our cutting-edge agent framework. As a key member of our team, you will be responsible for designing and implementing modular, intelligent systems that can reason, plan, and interact autonomously in real-world applications.

Your expertise will be pivotal in developing large language models, contextual memory, and tool integration, enabling the creation of AI-native applications that transcend traditional machine learning pipelines.

Key Responsibilities
  • Develop agent-oriented systems that support task decomposition, memory handling, and contextual planning.
  • Design and extend our in-house AI Agent Framework with reusable components such as tools, memory modules, and orchestration logic.
  • Build and integrate vector search, semantic retrieval, and memory systems to enable long-term, goal-driven agent behavior.
  • Connect LLMs and NLU/NLP layers to facilitate natural task inputs and autonomous reasoning capabilities.
  • Develop RESTful APIs using FastAPI, Flask, or Django to expose agent capabilities and integrate with other products.
  • Design scalable, event-driven microservice architectures tailored for AI-native workloads and agent frameworks.
  • Prioritize responsible AI design with user safety, transparency, and privacy at the core.

Required Skills & Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Strong software engineering skills in Python (3.x) with a deep understanding of async programming, architecture design, and typing.
  • Practical experience of 3 YEARS using LLMs for reasoning, prompt engineering, chaining, or building agent-like applications.
  • FastAPI, Flask, or Django LangChain, LlamaIndex, or other agent frameworks Vector stores (e.g., FAISS, Weaviate, Pinecone) PostgreSQL, Redis, and event queues (e.g., Celery, RabbitMQ)
  • Proficient with Git workflows and writing tests using Pytest or similar.

Bonus Skills (Nice-to-Have)

  • Experience with autonomous agents, tool-calling, or memory-driven task systems
  • Familiarity with cognitive architectures or symbolic reasoning
  • Contributions to open-source AI frameworks or tooling

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