Lead Engineer, AI Agent Systems (AI)

Location: Shanghai, China; on-site

Company

hirify.global's East – Data & Technology department develops software and AI agent infrastructure for complex, knowledge-intensive work.

What you will do

• Lead the architecture and evolution of next-generation agent infrastructure across execution, context and reasoning, and agent capability layers.
• Design and implement the Agent Loop runtime, middleware pipelines, planning workflows, task decomposition, dependency management, concurrency control, and scheduling.
• Build checkpointing, interruption and resumption, failure recovery, self-healing, authorization, and cost-control mechanisms for long-running multi-step tasks.
• Develop context orchestration, context-budget management, structured task workspaces, long-history compression, evidence traceability, and tool-output normalization.
• Lead foundational capabilities including sandboxed environments, memory and retrieval systems, MCP infrastructure, file-processing pipelines, tenant isolation, observability, and diagnostics.
• Remain hands-on with critical platform modules while leading technical decomposition, architecture decisions, code reviews, evaluations, and feedback loops.

Requirements

• At least five years of professional software engineering experience and experience delivering complex systems beyond CRUD applications or basic AI API integrations.
• Experience as a Tech Lead, Staff Engineer, or equivalent technical leader, including leadership of an engineering team of at least three people.
• Strong Python engineering skills and the ability to independently own critical platform modules.
• Experience with streaming responses, asynchronous and concurrent execution, multi-model routing, provider integrations, distributed systems, production architecture, debugging, and operational reliability.
• Substantial hands-on Agent and LLM engineering experience with deep expertise in at least two of the three areas: execution engines, context and reasoning orchestration, or agent capability foundations.
• On-site work in Shanghai, China is required.

Culture & Benefits

• Hands-on technical leadership with direct contribution to critical platform code.
• Focus on balancing reliability, security, cost, latency, and delivery speed.
• Work on reusable infrastructure that translates business use cases into agent platform capabilities.