AI Specialist

15 hours ago

Rajahmundry, Andhra Pradesh, India beBeeArtificial Full time ₹ 18,67,200 - ₹ 26,13,600
Job Opportunity:

    We seek an experienced AI Developer to help shape and scale our AI Framework.

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

Key Responsibilities:

  • Design and implement agent-oriented systems supporting task decomposition, memory handling, and contextual planning.
  • Develop and extend our in-house AI Agent Framework with reusable components like 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 enable 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 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.
  • Proficiency with Git workflows and writing tests using Pytest or similar.

Benefits:

  • Opportunity to work on cutting-edge AI projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

Other Opportunities:

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

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