Senior AI Systems Developer

1 week ago

Singapore beBeeAIEngineer Full time $90,000 - $120,000

Job Title: AI / Machine Learning Engineer

We're a leading provider of expert solutions in Agentic AI systems.

  • Agentic AI Development:
    • Design and implement sophisticated AI agents and bots capable of independent operation, complex decision-making, and self-correction within various domain-specific contexts. Utilize advanced AI orchestration frameworks to build robust conversational and task-oriented agents.
    • Work with state-of-the-art large language model serving solutions to ensure efficient and scalable inference for our AI agents.
    • Implement Retrieval-Augmented Generation (RAG) systems to enable agents to access, synthesize, and generate responses based on external, up-to-date knowledge bases, mitigating hallucinations and ensuring factual accuracy.
    • Develop Memory, Reasoning, and Planning (MRP) capabilities within agents, allowing them to maintain context, reason over information, formulate multi-step plans, and adapt to dynamic environments.
    • Design Agent-to-Agent (A2A) communication protocols, enabling seamless and secure collaboration, task delegation, and information exchange between different autonomous agents.
  • Deployment and MLOps:
    • Strategically deploy and manage AI agents and systems on cloud environments, ensuring high availability, scalability, and security.
    • Expose AI functionalities through well-documented APIs, enabling seamless integration with client systems and applications.
    • Handle on-premise deployments, including Kubernetes cluster setup and configuration.
    • Implement containerization strategies and establish orchestration workflows using tools like Argo.
    • Establish CI/CD pipelines for AI models and applications, ensuring rapid iteration and reliable delivery.
  • Model Training & Fine-tuning:
    • Train, fine-tune, and optimize custom AI models across various data types, leveraging expertise in deep learning frameworks.
    • Conduct experimentation, hyperparameter tuning, and model evaluation to achieve optimal model performance.
    • Stay abreast of the latest research and advancements in AI/ML to continuously improve our systems.

Key Requirements:

  • Expertise in deep learning frameworks and Agentic AI development.
  • Strong understanding of AI orchestration frameworks and large language models.
  • Experience with Retrieval-Augmented Generation (RAG) systems and Memory, Reasoning, and Planning (MRP) capabilities.
  • Proficiency in deployment, MLOps, and containerization strategies.
  • Ability to design and implement Agent-to-Agent (A2A) communication protocols.

What We Offer:

  • A dynamic and supportive work environment.
  • Ongoing training and professional development opportunities.
  • Competitive compensation and benefits packages.
  • Flexible working arrangements and remote work options.

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