beqom
beqom
beqom develops enterprise compensation management software for organizations that need to manage pay with greater clarity and consistency. Founded in 2009, the company brings pay management, compensation transparency, and equity tools together in a platform designed to align employee compensation with performance. Its AI-enabled software helps businesses manage compensation processes, control workforce costs, and address compliance across global operations. beqom works in SaaS and HR technology, serving enterprise customers, and hires across its growing team.

Senior Backend Engineer, AI Agent Platform

Lead AI agents in building beqom’s multi-tenant data platform for pay-intelligence SaaS. Define specifications, verification systems, and agent-driven pipelines.

Apraksts

  • Build multi-tenant data platform features with AI agents, including ingestion, schema management, effective dating, snapshots, calculated fields, and exports
  • Write structured, testable Product Requirement Prompts and specifications
  • Maintain the versioned specification library that governs the codebase
  • Coordinate parallel agents across multiple workstreams
  • Assess agent output against specifications
  • Improve first-pass success, reduce escaped defects, and increase changes merged without human review
  • Build and maintain the agent pipeline, including its harness, blueprint engine, MCP tools, warm sandbox pool, and retrieval across code, tickets, and past pull requests
  • Track token use, task latency, and pipeline run costs
  • Implement model-tier routing and cost-per-outcome controls
  • Add governance with audit trails, feature ownership, and data-classification gates
  • Create external behavioral scenarios, holdout sets, digital twins, layered AI review gates, and automated remediation
  • Meet performance requirements for bulk ingestion, large export streams, memory use, and complex SQL
  • Work with Support and Engineering to diagnose and resolve production data issues using agents
  • Document specifications, scenarios, and pipeline decisions
  • Help engineers adopt agent-driven development practices

Prasības

  • Senior experience building production backend services
  • Experience with .NET/C# and PostgreSQL systems
  • A demonstrable shift from writing code to directing AI agents, with most recent production output generated by AI under your direction
  • Hands-on mastery of AI coding agents, preferably Claude Code
  • Experience with parallel agent sessions, custom skills, and sub-agents
  • Ability to organize codebases and context for reliable agent work
  • Strong ability to write precise, agent-executable Product Requirement Prompts (PRPs) and specification files
  • Strong verification engineering skills, including behavioral and scenario-based testing, holdout evaluation, quality gates, and validation frameworks
  • Sound architectural judgment across performance, scalability, and reliability
  • Experience building agent infrastructure, including MCP servers, tool layers, sandboxed execution, and CI/CD for agent-driven workflows
  • Deep fluency reading .NET/C# and SQL
  • Knowledge of schema design, query plans, streaming versus buffering, and memory behavior
  • Excellent written communication
  • Experience with digital twins or service virtualization is a bonus
  • Experience with LLM evaluation at scale is a bonus
  • Experience in multi-tenant SaaS architecture, CDC/event-driven ingestion, lakehouse, Azure, Docker, Kubernetes/Helm, AI code compliance frameworks, or compensation, HR, or pay transparency is a bonus

Priekšrocības

  • A dynamic, autonomous work environment
  • Work with a passionate, diverse, talented team around the globe
  • Help drive meaningful change toward a fairer future for every employee
  • Career development and room to pursue your ambitions

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