Senior AI Systems Developer

1 day ago

Davangere, Karnataka, India beBeeArtificial Full time US$ 1,80,000 - US$ 2,50,000
AI Engineer Job Description

We are seeking a highly skilled and forward-thinking AI Engineer to join our team. The successful candidate will have expertise 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.

This role involves building context-aware AI agents capable of dynamic memory management, tool-based reasoning, multi-modal interaction, and consistent state maintenance across distributed AI ecosystems. You will 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:
  • A bachelor's or master's degree in Computer Science, Machine Learning, or a related field.
  • At least 3 years of experience working as an AI engineer developing commercial software.
  • 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.
  • Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Solid understanding of statistics, data structures, and algorithms.
Benefits:
  • Nice modern offices with great facilities.
  • Health Insurance.
  • 24 days holidays plus national holidays.
  • Life Insurance.

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