Advanced AI Engineer Position

1 week ago

Singapore beBeeAIENGINEER Full time $120,000 - $150,000
AI Engineering Opportunity

We are seeking a skilled AI engineer to design, develop, and deploy cutting-edge autonomous systems.

The ideal candidate will have hands-on experience in end-to-end development and deployment of AI agents and autonomous systems in production environments.

  • Key Responsibilities:
  • Develop and implement sophisticated AI agents and bots capable of independent operation, complex decision-making, and self-correction within various domain-specific contexts.
  • Utilize and integrate with advanced AI orchestration frameworks such as LangChain, LangGraph, and Microsoft Bot Framework.
  • Implement Retrieval-Augmented Generation (RAG) systems to enable agents to access, synthesize, and generate responses based on external, up-to-date knowledge bases.
  • Design and implement Agent-to-Agent (A2A) communication protocols, enabling seamless and secure collaboration, task delegation, and information exchange between different autonomous agents.
  • Work across diverse data modalities including image processing, time-series analysis, natural language processing (NLP), and graph data structures.

Requirements:

  • Hands-on experience in the end-to-end development and deployment of AI agents and autonomous systems in production environments.
  • Strong proficiency with AI orchestration frameworks such as LangChain, LangGraph, and/or experience with the Microsoft Bot Framework.
  • Practical experience with LLM serving technologies such as Ollama or vLLM.
  • Extensive hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) for deploying and managing AI solutions.
  • Containerization technologies (e.g., Docker) and substantial experience with container orchestration using Kubernetes.
  • Solid understanding and practical application of MLOps practices and tools.
  • Proficiency in modern deep learning frameworks (e.g., TensorFlow, PyTorch) for model training, fine-tuning, and evaluation.
  • Strong programming skills in Python, coupled with experience in version control systems like Git.

Preferred Skills:

  • Experience with knowledge graphs or semantic web technologies for advanced knowledge representation.
  • Understanding of prompt engineering and fine-tuning strategies for large language models.
  • Familiarity with data governance, security, and privacy best practices in AI deployments.
  • Contributions to open-source AI projects or relevant publications.
  • Patents and Publications in relevant fields.

Benefits:

  • Opportunity to work with cutting-edge technology and contribute to innovative projects.
  • Competitive salary and benefits package.
  • Ongoing training and professional development opportunities.

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