At a Glance
- Tasks: Lead AI-driven backend development and create impactful data solutions.
- Company: Join beqom, a high-growth B2B SaaS leader in pay equity.
- Benefits: Flexible work environment, competitive salary, and opportunities for personal growth.
- Other info: Collaborate with a diverse team and drive meaningful change globally.
- Why this job: Shape the future of work with innovative technology and make a real difference.
- Qualifications: Experience in backend services and AI coding agents is essential.
The predicted salary is between 63000 - 77000 £ per year.
Join beqom - where tech meets impact beqom is a high-growth B2B Saa S company that provides industry-leading tools for pay equity and transparency, compensation, and performance management.
Trusted by some of the world’s most respected companies, beqom enables HR and business leaders to navigate global compliance and make smarter pay decisions that attract, retain, and motivate top talent.
Founded in Switzerland and serving clients worldwide, our powerful, enterprise-ready products are fuelled by beqom pay intelligence.
Role Overview
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, and the 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 - with the explicit goal of reaching fully AI-embedded development: no human-written code, no human line-by-line review, and external behavioural scenarios, not traditional test suites, as the quality gate.
You will collaborate closely with Data Platform and Analytics engineers, Support teams, and Product stakeholders - translating their needs into agent-executable specifications.
Specs are our system of record; agents do the typing.
- What you'll be doing
- Agentic Delivery
- Deliver features across multi-tenant data platform services - data ingestion, schema management, effective dating, snapshots, calculated fields, and exports - exclusively through AI agents working from your specifications.
- Author structured, testable Product Requirement Prompts (PRPs) and spec files as the primary engineering artefact, and maintain the versioned spec library that governs the codebase.
- 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 (lint, build, git) with AI reasoning, MCP tool layer exposing internal APIs, warm sandbox pool, and retrieval over the codebase, tickets, and historical PRs.
- Own the economics of the pipeline: observability over token usage, task latency, and cost per run; model-tier routing and cost-per-outcome gating.
- Embed governance into the pipeline - machine-generated audit trails, named ownership per feature, data-classification gates keeping production secrets and PII out of agent context.
- Verification Engineering
- Engineer verification, not code: external behavioural scenario suites and holdout sets stored outside the codebase (agents never see the evaluation criteria), digital twins of the systems we integrate with, layered AI-reviews-AI gates, and automated remediation for self-healing services.
- Set and enforce the constraints that keep agent output correct on performance-critical paths - bulk ingestion throughput, large export streaming, memory behaviour, and complex SQL - validated by scenario and load gates rather than line-by-line reading.
- Production Ownership & Collaboration
- Diagnose and resolve production data issues through agents - with deep enough functional understanding of every service you own to steer remediation quickly, in collaboration with Support and Engineering.
- Document the specs, scenarios, and pipeline decisions that govern the platform - artefacts both humans and agents can act on - and help other engineers make the same shift.
Skills & Experience
- What you'll bring
- Demonstrated senior-level experience building production backend services - including .
NET/C# and Postgre SQL systems - with a demonstrable shift from writing code to directing agents: the majority of your recent production output should be AI-generated under your direction.
- Hands-on mastery of AI coding agents - Claude Code strongly preferred - including parallel agent sessions, custom skills and sub-agents, and structuring codebases and context so agents work reliably.
- Excellence in specification writing - turning ambiguous business needs into precise, agent-executable PRPs and spec files.
In this role, spec quality is the single most load-bearing skill.
- Strong verification engineering: behavioural and scenario-based testing, holdout evaluation, quality gates, and validation frameworks - the ability to trust and judge output you did not write.
- Strong architecture judgement: assessing whether an agent-proposed solution meets performance, scalability, and reliability requirements, and challenging designs that will not hold up under real workloads.
- Experience building agent infrastructure: MCP servers and tool layers, sandboxed execution, and CI/CD adapted for agent-driven workflows.
- Deep enough . NET/C# and SQL reading fluency to audit generated code when quality gates flag it - schema design, query plans, streaming vs. buffering, memory behaviour.
- Excellent written communication: specs, scenario definitions, and design docs that both humans and agents can act on.
- Bonus points if you have
- Experience building digital twins or service virtualisations of external systems for agent evaluation environments.
- Experience with LLM evaluation at scale: eval suites, red-teaming AI-generated code, benchmarking agent workflows.
- Multi-tenant Saa S architecture experience, CDC/event-driven ingestion (Debezium, Kafka, Rabbit MQ/Mass Transit), or lakehouse exposure (Microsoft Fabric).
- Azure services, Docker, Kubernetes/Helm.
- Experience with legal, security, or compliance frameworks for AI-authored code.
- Familiarity with compensation, HR, or pay transparency domains.
Why join us?
- Your career, your design. Unleash your ambition in our dynamic, autonomous environment.
- Drive meaningful change. Build a fairer future for every employee by joining a market leader that is improving the world of work.
- Belong to something bigger. Collaborate with a passionate, diverse and talented team around the globe.
Please review our Candidate Privacy Notice before submitting your application.
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Senior Agentic Backend Engineer employer: Beqom
At beqom, we pride ourselves on being an excellent employer that fosters a dynamic and autonomous work environment where your career aspirations can flourish. As a Product Owner in our innovative team, you'll have the opportunity to drive meaningful change in the realm of pay transparency while collaborating with a diverse group of passionate professionals. With a strong focus on employee growth and a commitment to building a fairer future for all, beqom is the perfect place for those looking to make a significant impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Agentic Backend Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Beqom or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Beqom.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Beqom.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Beqom that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Agentic Backend Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Beqom.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Beqom and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Beqom
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Beqom uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
