Senior AI Visionary

2 weeks ago


Singapore beBee Solution Full time $120,000 - $180,000

Job Opportunity: Senior AI Solutions Architect

Job Description:

As a Senior AI Solutions Architect, you will be responsible for designing and implementing cutting-edge AI solutions that drive business growth and efficiency. Your expertise in AI software development will help us create innovative products and services that transform industries.

Key Responsibilities:

  • Design and develop AI software for building automation and facility management, leveraging your knowledge of large language models and generative AI.
  • Implement end-to-end GenAI architecture, including prompt engineering, embeddings, vector stores, RAG, function calling, MCP, multi-agent systems, and fine-tuning using LoRA.
  • Develop production-grade agents and knowledge-based QA systems using LangChain.
  • Work with cross-functional teams to integrate AI models into production environments and existing software systems.
  • Monitor AI performance in production environments, troubleshoot errors, and update models to ensure ongoing accuracy and efficiency.

Required Skills and Qualifications:

  • Bachelor's degree in computer science, MIS, software engineering, or information systems.
  • 4+ years of hands-on experience in software development for artificial intelligence and machine learning.
  • Knowledge of natural language processing, generative AI, and large language models, and how to leverage them for applications.
  • Proficient in leading LLMs (Gemini, GPT-4), with experience in context window management and token cost optimization.
  • Skilled in designing and implementing end-to-end GenAI architecture, covering prompt engineering, embeddings and vector stores, RAG, function calling, MCP, multi-agent systems, and fine-tuning (LoRA).
  • Experience building production-grade agents and knowledge-based QA systems using LangChain.
  • Proficient in Java, Python programming, and SQL/NoSQL databases for data manipulation, analysis, and interpretation.
  • Experience with AI/ML services on platforms like AWS, Google Cloud, Azure.

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