Intelligent System Designer

2 weeks ago

Nashik, Maharashtra, India beBeeArtificial Full time ₹ 21,64,999 - ₹ 25,12,999
Job Description

We're seeking an innovative and forward-thinking Ai Architect to help shape and scale our Ai System. This is a hands-on role focused on building intelligent, modular systems that can reason, plan, and interact autonomously in real-world applications.

You will work alongside a highly collaborative team to develop systems that leverage Large Language Models (LLMs), contextual memory, and tool integration—delivering Ai-native applications, not just traditional Machine Learning pipelines.

Key Responsibilities:

  • Ai System Development: Design and implement agent-oriented systems that support task decomposition, memory handling, and contextual planning.
  • Framework Engineering: Develop and extend our in-house Ai Framework with reusable components like tools, memory modules, and orchestration logic.
  • Contextual Intelligence: Build and integrate vector search, semantic retrieval, and memory systems to enable long-term, goal-driven agent behaviour.
  • Natural Language Interfaces: Connect LLMs (e.g., OpenAI) and NLU/NLP layers to enable natural task inputs and autonomous reasoning capabilities.
  • Api Engineering: Develop RESTful APIs using FastAPI, Flask, or Django to expose agent capabilities and integrate with other products.
  • System Architecture: Design scalable, event-driven microservice architectures tailored for Ai-native workloads and agent frameworks.
  • Responsible Ai: Prioritize responsible Ai design with user safety, transparency, and privacy at the core.

Required Skills & Qualifications:

  • Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Python Proficiency: Strong software engineering skills in Python (3.x) with deep understanding of async programming, architecture design, and typing.
  • Ai/llm Experience: Practical experience of 3 YEARS using LLMs for reasoning, prompt engineering, chaining, or building agent-like applications.
  • Frameworks & Tools: FastAPI, Flask, or Django LangChain, LlamaIndex, or other agent frameworks Vector stores (e.g., FAISS, Weaviate)
  • Version Control & Testing: 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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