Advanced AI System Developer

1 day ago

Palakkad, Kerala, India beBeeArtificialIntelligenceEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Artificial Intelligence Engineer

We are seeking a highly skilled and forward-thinking AI Engineer experienced in designing, deploying, and operationalizing modern AI solutions using Generative AI, Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) for intelligent multi-agent orchestration.

In this role, you'll build context-aware AI agents capable of dynamic memory management, tool-based reasoning, multi-modal interaction, and consistent state maintenance across distributed AI ecosystems. You'll work at the forefront of autonomous AI system design integrating multi-model workflows, RAG pipelines, tool-augmented agents, and persistent context protocols.

Key Responsibilities:

  • Design, develop, and deploy advanced AI systems leveraging LLMs, multi-modal models, and autonomous agent frameworks.
  • Architect and implement Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases for dynamic, enterprise-safe context retrieval.
  • Develop and manage context-aware AI agents leveraging Model Context Protocol (MCP) or equivalent structured context management mechanisms for persistent memory, multi-agent collaboration, and session continuity.
  • Implement context propagation, state serialization, and contextual handoff mechanisms across distributed agents, tools, and reasoning chains.
  • Integrate AI systems with cloud APIs, vector databases, plugin architectures, and orchestration frameworks for multi-step task execution.
  • Optimize memory management, prompt engineering, and dynamic context windows for complex, long-running AI workflows.
  • Lead AI agent orchestration initiatives using frameworks like LangChain, Semantic Kernel, CrewAI, or AutoGen, with MCP integration for context tracing and governance.

Required Skills and Qualifications:

  • 3+ years of AI engineering experience, with direct expertise in:
  • Generative AI (GenAI) frameworks (OpenAI, Hugging Face, Anthropic, Mistral)
  • Agentic AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI)
  • Retrieval-Augmented Generation (RAG) system design and deployment
  • Model Context Protocol (MCP) or structured context management solutions in multi-agent, multi-tool AI workflows
  • Strong software engineering skills in Python, including AI/ML libraries like PyTorch, TensorFlow, Transformers, and RAG toolkits.
  • Hands-on experience working with vector databases (Pinecone, FAISS, Weaviate, Chroma) and plugin-based AI architectures.
  • Strong understanding of AI memory management, session context propagation, and multi-agent communication protocols.
  • Programming framework/language: Python, JS or Java.
  • Vector databases (Pinecone, FAISS, Weaviate, Chroma) and plugin-based AI architectures.
  • Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Solid understanding of statistics, data structures, and algorithms.

Benefits:

  • A competitive salary and benefits package
  • A supportive and collaborative team environment
  • Ongoing training and development opportunities
  • A flexible work-life balance

We value diversity and inclusion in our workplace. Everyone who applies with the qualifications will receive consideration for employment without regard to age, colour, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law.

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