Agentic Orchestration Engineer
About the Role
Key Responsibilities
- Design and implement production-grade multi-agent orchestration frameworks based on a multi-tier pattern (e.g., Tier 1 routers, Tier 2 domain specialists, Tier 3 utility agents)
- Build and maintain complex workflow orchestration using state machines (e.g., LangGraph) to manage agent coordination, context, and control flow
- Define and manage the full agent lifecycle, including registration, configuration, versioning, deprecation, and runtime governance
- Implement robust observability for agents and workflows, leveraging tools such as LangSmith and Datadog for tracing, logging, metrics, and performance insights
- Develop scalable, asynchronous Python services that integrate with LangChain/LangGraph and other orchestration components
- Collaborate with AI engineers, solution architects, and product teams to translate business workflows into orchestrated multi-agent solutions
- Ensure reliability, security, and resilience of agentic systems in production, including error handling, fallback strategies, and monitoring
- Contribute to and advocate for best practices, patterns, and reusable components for multi-agent orchestration across the organization
Required Qualifications
- Strong hands-on experience building AI or automation systems using Python
- Practical experience with LangChain, LangGraph, or similar frameworks for agent or workflow orchestration
- Solid understanding of multi-agent system design, orchestration patterns, and state machines
- Experience with asynchronous programming and event-driven architectures in Python
- Familiarity with observability practices and tools (e.g., LangSmith, Datadog, or equivalent) for monitoring complex workflows
- Demonstrated ability to design and implement production-ready services with a focus on robustness, scalability, and maintainability
- Strong collaboration and communication skills, with the ability to work closely with cross-functional technical and product teams
Preferred Qualifications
- Experience designing or implementing tiered/hybrid orchestration patterns for agents or services
- Background in large-scale AI, automation, or workflow platforms in enterprise environments
- Knowledge of reliability engineering practices (circuit breakers, retries, fallbacks, timeouts) applied to agentic systems
- Contributions to open-source orchestration, LangChain/LangGraph, or multi-agent frameworks
- Experience working in consulting or client-facing technology delivery teams
About the Company / Team
Singapore
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