WEX
WEX
WEX ir globāla komercijas platforma, kas palīdz organizācijām pārvaldīt būtiskus uzņēmējdarbības procesus, izmantojot specializētus maksājumu un administrēšanas risinājumus. Tās piedāvājumā ietilpst degvielas kartes, autoparka pārvaldība un analītika loģistikas un transporta komandām, uzņēmumu maksājumu rīki darījumu vienkāršošanai un kontroles stiprināšanai, kā arī darbinieku labumu administrēšana veselības aprūpes un atlīdzināšanas kontiem. Darbojoties veselības aprūpes, loģistikas un ceļošanas jomā, WEX izstrādā tehnoloģijas, kuru mērķis ir padarīt sarežģītus komerciālos procesus efektīvākus, drošākus un vieglāk pārvaldāmus.

Software Development Engineer III, AI Agentic Systems

Build AI agent workflows, cloud infrastructure, and resilient services at WEX. Lead architecture, delivery pipelines, incident response, and engineering mentorship.

Apraksts

  • Design and deploy multi-agent workflows using AWS Agent Core
  • Lead internal AI training and coaching
  • Work with external AI partners to identify agentic system opportunities
  • Design, build, and own end-to-end services and cross-platform integrations
  • Set data orchestration strategies and guide architectural trade-offs
  • Build secure, resilient, testable, and maintainable systems
  • Design dependable, cost-conscious cloud infrastructure and failover approaches
  • Own automated deployment packages and metadata frameworks across sandbox tiers
  • Develop and improve CI/CD pipelines
  • Diagnose complex defects and fix their underlying causes
  • Lead service incident response during outages
  • Prepare triage runbooks and playbooks for Tier 1 and Tier 2 helpdesk teams and junior analysts
  • Own non-functional requirements with Product Managers
  • Set backlog priorities and negotiate scope, technical debt, and refactoring work
  • Provide constructive code reviews and mentor SDE 1 and SDE 2 engineers
  • Guide data-informed engineering discussions and lead knowledge-sharing sessions

Prasības

  • Provide senior technical leadership in designing full services and resolving complex integration challenges
  • Have experience designing and deploying multi-agent workflows with AWS Agent Core
  • Understand state management, persistent memory, and complex tool interactions
  • Have experience with AI-powered software and agentic integrations, including Google Gemini, AWS Agent Core, and Claude
  • Be able to own services and cross-platform integrations from design through delivery
  • Make data orchestration trade-offs, including MCP versus API and agents versus skills
  • Have experience implementing retries, circuit breakers, and fallback mechanisms
  • Understand security vulnerabilities and authentication standards such as OAuth scopes
  • Have experience designing reliable cloud infrastructure, including auto-scaling groups and failover strategies
  • Have experience with automated deployment packages, metadata frameworks, scripts, and automation manifests
  • Have experience optimizing CI/CD pipelines
  • Be able to diagnose intermittent issues, race conditions, memory leaks, and other complex defects
  • Be able to lead incident response and create triage runbooks and playbooks
  • Be able to own non-functional requirements covering performance, security, and scalability
  • Be able to negotiate technical debt, refactoring, and the balance between essential and optional work
  • Bring strong code review, mentoring, consensus-building, continuous learning, and context-switching skills

Priekšrocības

  • Health, dental, and vision insurance
  • Retirement savings plan
  • Paid time off
  • Health savings account
  • Flexible spending accounts
  • Life insurance
  • Disability insurance
  • Tuition reimbursement
  • Quarterly or annual bonus eligibility for non-sales roles

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