[Hiring] Senior Agentic Backend Engineer @beqom

Role Description

We are looking for a Senior Agentic Backend Engineer to join our Data Platform Core team, which owns the services at the heart of beqom’s data architecture.

• Multi-tenant data ingestion
• Schema management
• Snapshots
• Calculated fields
• Data contracts powering analytics and reporting across the product

In this role you will not write the code. AI agents will. You will own the specifications that govern these services, the agentic pipeline that turns those specifications into production software, and the verification machinery that proves the output is correct.

Collaborate closely with Data Platform and Analytics engineers, Support teams, and Product stakeholders — translating their needs into agent-executable specifications.

What you'll be doing

Agentic Delivery

• Deliver features across multi-tenant data platform services exclusively through AI agents working from your specifications.
• Author structured, testable Product Requirement Prompts (PRPs) and spec files as the primary engineering artefact.
• Run multiple agents in parallel across workstreams; evaluate outcomes against specs.
• Progress agent first-pass success rate, defect escape rate, and the share of changes merged without human review steadily upward.

Pipeline Engineering

• Build and maintain the agentic pipeline: agent harness, blueprint engine interleaving deterministic steps with AI reasoning.
• Own the economics of the pipeline: observability over token usage, task latency, and cost per run.
• Embed governance into the pipeline — machine-generated audit trails and data-classification gates.

Verification Engineering

• Engineer verification, not code: external behavioural scenario suites and holdout sets stored outside the codebase.
• Set and enforce the constraints that keep agent output correct on performance-critical paths.

Production Ownership & Collaboration

• Diagnose and resolve production data issues through agents.
• Document the specs, scenarios, and pipeline decisions that govern the platform.

Qualifications

• Demonstrated senior-level experience building production backend services — including .NET/C# and PostgreSQL systems.
• Hands-on mastery of AI coding agents — Claude Code strongly preferred.
• Excellence in specification writing — turning ambiguous business needs into precise, agent-executable PRPs and spec files.
• Strong verification engineering: behavioural and scenario-based testing.
• Strong architecture judgement: assessing whether an agent-proposed solution meets performance, scalability, and reliability requirements.
• Experience building agent infrastructure: MCP servers and tool layers.
• Deep enough .NET/C# and SQL reading fluency to audit generated code.
• Excellent written communication: specs, scenario definitions, and design docs.

Bonus points if you have

• Experience building digital twins or service virtualisations of external systems.
• Experience with LLM evaluation at scale.
• Multi-tenant SaaS architecture experience, CDC/event-driven ingestion.
• Azure services, Docker, Kubernetes/Helm.
• Experience with legal, security, or compliance frameworks for AI-authored code.
• Familiarity with compensation, HR, or pay transparency domains.

Benefits

• Your career, your design. Unleash your ambition in our dynamic, autonomous environment.
• Drive meaningful change. Build a fairer future for every employee.
• Belong to something bigger. Collaborate with a passionate, diverse and talented team around the globe.