Hybrid Software Engineer III

at Pearson VUE

• Job title: Software Engineer III
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Distributed Systems, Docker, Google Cloud Platform, Kubernetes, Python
• Location requirements: Hybrid, Durham, United States

About the role

• Senior Software Engineer designing and building core platform capabilities for production-grade agents. Focused on orchestration and intelligent digital workflows with a strong engineering background.

Responsibilities

• Design and implement multi-agent and digital worker orchestration patterns that enable specialized agents to delegate, collaborate, and complete multi-step business goals.
• Build stateful and cyclic workflows using frameworks such as LangGraph, CrewAI, AutoGen, or similar, enabling reflection, recovery, and adaptive execution beyond simple linear chains.
• Develop reusable orchestration components for routing, retries, fallback logic, structured outputs, and human-in-the-loop interventions.
• Define how digital workers compose and invoke reusable skills across common enterprise workflows.
• Build and maintain reusable skills that encapsulate business actions, domain logic, tool usage, and workflow steps in a standardized way.
• Implement resilience patterns for non-deterministic AI systems, including timeout handling, intelligent retries, degraded execution modes, and escalation paths.
• Design systems for long-running, resumable workflows for agents and digital workers, including checkpointing, persistence, context restoration, and lifecycle management.
• Build automated evaluation frameworks to measure workflow quality, skill execution quality, tool-use accuracy, groundedness, safety, and task success.
• Drive reusable engineering standards, shared libraries, and reference patterns for agent development, digital workers, and skills across the platform.

Requirements

• 8+ years of software engineering experience with strong proficiency in Python and backend/platform engineering.
• Hands-on experience building LLM-powered systems, agents, digital workers, or workflow automation platforms in production.
• Experience with frameworks such as LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex, or similar.
• Strong experience in APIs, distributed systems, cloud-native engineering, and production reliability.
• Experience designing and integrating RAG pipelines, tool-calling systems, reusable skills, and structured output patterns.
• Experience with at least one major cloud platform such as AWS, Azure, or GCP, along with Docker, Kubernetes, and CI/CD practices.
• Ability to design systems with strong trade-off awareness across quality, latency, cost, resilience, and maintainability.

Benefits

• Flexible working hours
• Professional development opportunities