Advanced AI Systems Developer

13 hours ago

Nellore, Andhra Pradesh, India beBeeArtificialIntelligenceEngineer Full time ₹ 18,00,000 - ₹ 2,01,60,000

**AI Engineer Position Summary**

We are seeking a skilled AI Engineer to join our team. As an AI Engineer, you will design, develop, and deploy advanced AI systems leveraging large language models (LLMs), multi-modal models, and autonomous agent frameworks.

Your primary responsibilities will include designing, developing, and deploying AI systems that integrate LLMs, multi-modal models, and autonomous agents. You will also be responsible for architecting and implementing Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases for dynamic, enterprise-safe context retrieval.

An ideal candidate will have 3+ years of experience in AI engineering, with direct expertise in Generative AI (GenAI) frameworks, Agentic AI orchestration frameworks, RAG system design and deployment, and Model Context Protocol (MCP) or structured context management solutions.

You will work closely with our team to integrate AI systems with cloud APIs, vector databases, plugin architectures, and orchestration frameworks for multi-step task execution.

The successful candidate will have a strong understanding of AI memory management, session context propagation, and multi-agent communication protocols. A solid understanding of statistics, data structures, and algorithms is also required.

Preferred skills include experience integrating multi-modal models into agentic workflows, familiarity with AI safety, observability, and context integrity management, exposure to LLMOps pipelines, prompt optimization techniques, and AI agent performance tuning.

  • Required Skills:
  • Generative AI (GenAI) frameworks
  • Agentic AI orchestration frameworks
  • RAG system design and deployment
  • MCP or structured context management solutions
  • Strong software engineering skills in Python
  • Familiarity with vector databases and plugin-based AI architectures
  • Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Solid understanding of statistics, data structures, and algorithms
  • Preferred Skills:
  • Experience integrating multi-modal models into agentic workflows
  • Familiarity with AI safety, observability, and context integrity management
  • Exposure to LLMOps pipelines, prompt optimization techniques, and AI agent performance tuning

What We Offer:

We offer a dynamic work environment, opportunities for growth and development, and a competitive salary package.

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