Senior Backend Engineer
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Job Description
Senior Agentic Backend Engineer directing AI agents to build beqom’s multi-tenant data platform. Developing specifications, verification systems, and agentic pipelines for pay-intelligence SaaS products.
Responsibilities:
- 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
- Evaluate agent 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 over code, tickets, and historical pull requests
- Monitor token usage, task latency, and cost per pipeline run
- Implement model-tier routing and cost-per-outcome gating
- Embed governance through audit trails, feature ownership, and data-classification gates
- Engineer external behavioural scenario suites, holdout sets, digital twins, layered 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 practices
Requirements:
- Senior-level experience building production backend services
- Experience with .NET/C# and PostgreSQL systems
- Demonstrable shift from writing code to directing AI agents; majority of recent production output should be AI-generated under the candidate’s direction
- Hands-on mastery of AI coding agents, strongly preferably Claude Code
- Experience with parallel agent sessions, custom skills, and sub-agents
- Ability to structure codebases and context for reliable agent work
- Excellence in writing precise, agent-executable Product Requirement Prompts (PRPs) and specification files
- Strong verification engineering skills, including behavioural and scenario-based testing, holdout evaluation, quality gates, and validation frameworks
- Strong architecture judgment covering 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
- Knowledge of schema design, query plans, streaming versus buffering, and memory behaviour
- Excellent written communication
- Experience with digital twins or service virtualisations is a bonus
- Experience with LLM evaluation at scale is a bonus
- Multi-tenant SaaS architecture, CDC/event-driven ingestion, lakehouse, Azure, Docker, Kubernetes/Helm, AI code compliance frameworks, or compensation/HR/pay transparency experience are bonuses
Benefits:
- Dynamic, autonomous work 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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