AI Native Applications Developer

5 days ago

Malappuram, Kerala, India beBeeDevelopment Full time ₹ 10,00,000 - ₹ 15,00,000

A forward-thinking AI developer is needed to help shape and scale our agent framework.

This role focuses 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
  • 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 Agent 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 behavior.
  • Natural Language Interfaces:
    • Connect LLMs (e.g., OpenAI, Anthropic) and natural language understanding (NLU)/natural language processing (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.
  • Ethical 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 asynchronous 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, Pinecone) PostgreSQL, Redis, and event queues (e.g., Celery, RabbitMQ)
  • 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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