Lead Engineer, AI Agent Systems

Responsibilities

Architecture Leadership and Evolution

• Lead the architecture and evolution of next-generation agent infrastructure designed for complex knowledge-intensive work.
• Define clear boundaries and collaboration mechanisms across three core layers: the execution engine context and reasoning orchestration and the agent capability foundation. Ensure high availability reliability and long-term extensibility in environments with a low tolerance for hallucinations and incorrect outputs.

Agent Execution Engine

• Design and implement the Agent Loop runtime and its middleware pipelines.
• Lead the execution and orchestration of planning and sub-agent workflows including task decomposition dependency management concurrency control and execution scheduling.
• Build mechanisms for checkpointing interruption and resumption failure recovery self-healing authorization and cost control to ensure the reliable execution of long-running and complex multi-step tasks.

Context and Reasoning Orchestration

• Own the design and implementation of core context orchestration capabilities.
• Develop strategies for input standardization dynamic capability representation and hierarchical context-budget management including structured degradation when resource or context limits are reached.
• Build structured task workspaces that support efficient organization of dynamic context. Address challenges including long-history compression tool-output normalization evidence traceability and the management of information across different stages of a task.

Agent Capability Foundation

Lead the development of foundational agent capabilities including:

• Secure sandboxed environments using technologies such as Docker Kubernetes and AST-based controls
• Multi-layer memory stores
• Retrieval and knowledge-access capabilities
• An MCP (Model Context Protocol) Hub
• Skill execution and management engines
• File-processing and transfer pipelines
• Multi-tenant isolation and security controls
• End-to-end observability and diagnostics

Technical Leadership and Team Enablement

• Remain hands-on and personally contribute code to critical platform modules.
• Lead technical decomposition architecture decisions code reviews and the development of automated evaluation systems and feedback loops.
• Guide the engineering team in translating specific business use cases into reusable platform and infrastructure capabilities.

Qualifications

Engineering and Leadership Experience

• At least five years of professional software engineering experience.
• Proven experience leading the design and delivery of complex software systems beyond standard CRUD applications or basic integrations with AI APIs.
• Demonstrated experience operating as a Tech Lead Staff Engineer or equivalent technical leader.
• Experience leading an engineering team of at least three people.

Core Engineering Capabilities

• Strong Python software-engineering skills and the ability to independently own critical platform modules.
• Deep experience with common engineering challenges such as streaming responses asynchronous and concurrent execution and multi-model routing and provider integration.
• Strong judgement in balancing system reliability security cost latency and delivery speed.
• Solid understanding of distributed systems production architecture debugging and operational reliability.

Depth in AI and Agent Systems

Candidates must have substantial hands-on engineering experience with Agent and LLM systems with deep expertise in at least two of the following three areas:

Execution Engine

• Multi-step reasoning loops
• Tool lifecycle management
• Planning and sub-agent orchestration
• Interruption and resumption
• Failure recovery and self-healing

Context and Reasoning Orchestration

• Input standardization
• Context assembly
• Context and token-budget governance
• Provider-specific request shaping
• Task-stage modelling
• Long-context compression and evidence traceability

Agent Capability Foundation

• Sandbox isolation
• Memory and retrieval systems
• MCP infrastructure
• File-system and file-processing capabilities
• Multi-tenant isolation
• Security monitoring and observability

Required Experience:

Senior IC

Employment Type : Full-Time
Experience: years
Vacancy: 1