Senior Conversational AI Developer

4 days ago

Sydney, New South Wales, Australia beBeeArtificialintelligence Full time $180,000 - $250,000
AI/ML Engineer - Conversational Systems

We are seeking a highly skilled AI/ML Engineer with expertise in building scalable, intelligent conversational systems and agent frameworks. This role involves developing and maintaining containerized AI agents using frameworks like Langgraph, LangChain, and LangFuse.

Main Responsibilities:
  • Design and implement semantic kernel solutions in Python for intelligent language processing.
  • Create MCP tooling workflows without direct API calls to ensure efficient tooling development.
  • Define protocols for agent-to-agent communication to enable reliable and scalable interactions.
  • Implement observability solutions using Langfuse, Observe, and Obstacle for system monitoring and debugging.
  • Integrate Retrieval-Augmented Generation (RAG) techniques leveraging DynamoDB, Bedrock, and embedding models for knowledge retrieval.
  • Engineer context management and dialogue state tracking using Aurora DB.
  • Develop and deploy CI/CD pipelines for efficient agent deployment and updates using Docker, ECS Fargate, and FastAPI.
Requirements:
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related fields.
  • Proven experience in building AI-powered agent systems with frameworks like LangChain, Langgraph, LangFuse.
  • Strong Python development skills, especially in semantic kernel and NLP applications.
  • Hands-on experience with DynamoDB, AWS Bedrock, embedding models, and RAG methodology.
  • Deep knowledge of containerization (Docker), orchestration (ECS Fargate), and deployment pipelines (CI/CD).
  • Familiarity with large language models (e.g., GPT-4, OpenAI API) as decision or judgment components.
  • Experience with API management tools such as Kong Gateway.
  • Expertise in system observability and monitoring (Langfuse, Observe, Obstacle).
  • Knowledge of SQL/NoSQL databases, especially Aurora DB, for context and dialogue management.
  • Strong problem-solving capabilities in scaling and optimizing agent architectures.
  • Excellent communication and collaboration skills in a fast-paced environment.
Preferred Skills:
  • Experience in protocol design for agent-to-agent communication.
  • Familiarity with cloud infrastructure and serverless deployment models.

This is an exciting opportunity to work on cutting-edge conversational systems and agent frameworks. If you have the necessary skills and qualifications, we encourage you to apply for this role.

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