
201 - 500 employés
☁️ SaaS
👥 RH Tech
🏢 Entreprise
SaaS • HR Tech • Enterprise
beqom est une plateforme complète de management de la rémunération, conçue pour apporter clarté, équité et motivation aux collaborateurs. Depuis 2009, beqom est à la pointe des technologies de compensation pour les entreprises, en intégrant la gestion de la rémunération, la transparence et l’équité dans un système fluide. Sa plateforme de dernière génération s’appuie sur l’AI pour optimiser les processus de compensation, offrant précision, scalabilité et conformité aux entreprises de tous secteurs. En veillant à une rémunération juste et alignée sur la performance, beqom aide les organisations à piloter efficacement les coûts de rémunération totale tout en respectant les normes de conformité internationales.
🕒 il y a 13 jours
🗣️🇺🇸🇬🇧 Anglais requis
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201 - 500 employés
☁️ SaaS
👥 RH Tech
🏢 Entreprise
SaaS • HR Tech • Enterprise
beqom est une plateforme complète de management de la rémunération, conçue pour apporter clarté, équité et motivation aux collaborateurs. Depuis 2009, beqom est à la pointe des technologies de compensation pour les entreprises, en intégrant la gestion de la rémunération, la transparence et l’équité dans un système fluide. Sa plateforme de dernière génération s’appuie sur l’AI pour optimiser les processus de compensation, offrant précision, scalabilité et conformité aux entreprises de tous secteurs. En veillant à une rémunération juste et alignée sur la performance, beqom aide les organisations à piloter efficacement les coûts de rémunération totale tout en respectant les normes de conformité internationales.
• Deliver features across multi-tenant data platform services, including data ingestion, schema management, effective dating, snapshots, calculated fields, and exports, exclusively through AI agents • Author structured, testable Product Requirement Prompts and specification files • Maintain the versioned specification library governing the codebase • Run multiple agents in parallel across workstreams and evaluate outcomes against specifications • Improve agent first-pass success rate, defect escape rate, and changes merged without human review • Build and maintain the agentic pipeline, including the agent harness, blueprint engine, MCP tool layer, warm sandbox pool, and retrieval systems • Monitor token usage, task latency, cost per run, model-tier routing, and cost-per-outcome • Embed audit trails, feature ownership, data-classification gates, and controls for production secrets and PII • Engineer external behavioural scenario suites, holdout sets, digital twins, AI-review gates, and automated remediation • Enforce performance constraints for bulk ingestion, large export streaming, memory behaviour, and complex SQL • Diagnose and resolve production data issues through agents in collaboration with Support and Engineering • Document specifications, scenarios, and pipeline decisions • Help other engineers adopt agent-driven development
• Senior-level experience building production backend services • Experience with .NET/C# and PostgreSQL systems • Majority of recent production output should be AI-generated under the candidate’s direction • Hands-on mastery of AI coding agents, preferably Claude Code • Experience with parallel agent sessions, custom skills, and sub-agents • Ability to structure codebases and context so agents work reliably • Excellence in writing precise, agent-executable Product Requirement Prompts (PRPs) and specification files • Strong verification engineering experience, including behavioural and scenario-based testing, holdout evaluation, quality gates, and validation frameworks • Strong architecture 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 .NET/C# and SQL reading fluency, including schema design, query plans, streaming vs. buffering, and memory behaviour • Excellent written communication • Bonus: digital twins or service virtualisations • Bonus: LLM evaluation at scale, eval suites, red-teaming AI-generated code, and agent workflow benchmarking • Bonus: Multi-tenant SaaS architecture, CDC/event-driven ingestion, or lakehouse exposure • Bonus: Azure, Docker, Kubernetes/Helm • Bonus: legal, security, or compliance frameworks for AI-authored code • Bonus: compensation, HR, or pay transparency domain familiarity
• Dynamic, autonomous environment • Collaboration with a passionate, diverse, and talented team around the globe • Opportunity to drive meaningful change by contributing to a fairer future for every employee • Career growth and opportunity to unleash ambition
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