Pearson VUE

Software Engineer III

Pearson VUE

full-time

Posted on:

Location Type: Hybrid

Location: Durham • North Carolina • United States

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Job Level

SeniorLead

Tech Stack

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesPython

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythonbackend engineeringworkflow automationLLM-powered systemsAPIsdistributed systemscloud-native engineeringRAG pipelinesDockerKubernetes
Soft Skills
trade-off awarenesscollaborationproblem-solvingadaptabilitycommunication