AI Engineer

4 hours ago

Ahmedabad, Gujarat, India beBeeArtificialIntelligence Full time US$ 1,50,000 - US$ 2,00,000

We are seeking a highly skilled and forward-thinking AI engineer to join our team. This individual will be responsible for 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.

The ideal candidate will have experience in developing advanced AI systems leveraging Large Language Models (LLMs), multi-modal models, and autonomous agent frameworks. They will work at the forefront of autonomous AI system design integrating multi-model workflows, RAG pipelines, tool-augmented agents, and persistent context protocols.

This role requires strong software engineering skills in Python, including AI/ML libraries like PyTorch, TensorFlow, Transformers, and RAG toolkits. The candidate should also have hands-on experience working with vector databases (Pinecone, FAISS, Weaviate, Chroma) and plugin-based AI architectures.

Key responsibilities include:

  • Designing, developing, and deploying advanced AI systems leveraging LLMs, multi-modal models, and autonomous agent frameworks.
  • Architecting and implementing Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases for dynamic, enterprise-safe context retrieval.
  • Developing and managing context-aware AI agents leveraging Model Context Protocol (MCP) or equivalent structured context management mechanisms for persistent memory, multi-agent collaboration, and session continuity.
  • Implementing context propagation, state serialization, and contextual handoff mechanisms across distributed agents, tools, and reasoning chains.
  • Integrating AI systems with cloud APIs, vector databases, plugin architectures, and orchestration frameworks for multi-step task execution.
  • Optimizing memory management, prompt engineering, and dynamic context windows for complex, long-running AI workflows.
  • Leading AI agent orchestration initiatives using frameworks like LangChain, Semantic Kernel, CrewAI, or AutoGen, with MCP integration for context tracing and governance.

Required qualifications include:

  • 3+ years of AI engineering experience, with direct expertise in Generative AI (GenAI) frameworks, Agentic AI orchestration frameworks, Retrieval-Augmented Generation (RAG) system design and deployment, Model Context Protocol (MCP), and strong software engineering skills in Python.
  • Experience working with vector databases and plugin-based AI architectures.
  • Strong understanding of AI memory management, session context propagation, and multi-agent communication protocols.
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.

Benefits include:

  • Work for a market-leading product company.
  • Nice modern offices with great facilities.
  • Health insurance.
  • 24 days holidays plus national holidays.
  • Life insurance.

We value diversity and equality in the workplace and are an equal opportunities employer. If you are passionate about AI and want to join a talented team, please apply.

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