NB: This role is based in London office, 5 days per week, no visa support is available.
We're looking for a
Backend Engineer
to join an early-stage, revenue-generating AI-driven SaaS platform. You'll report directly to the Head of Engineering and own systems end-to-end. This is the sweet spot: early enough to design foundational systems, but with real customers, revenue from day one, and meaningful equity. You'll work in a small senior team where your code directly impacts business results.
Perfect for:
Backend engineers who love owning systems end-to-end, want early-stage equity upside, and thrive in fast-moving environments.
What you'll be doing
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Own systems end-to-end
: Scope, build, ship, and iterate on backend services and infrastructure that power our core product.
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Build scalable infrastructure
for AI agent systems, dialer infrastructure, and intelligent pipelines that handle thousands of concurrent operations.
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Design and implement core backend systems
including APIs, databases, event processing, and real-time data pipelines that support the product.
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Collaborate with frontend engineers and product leadership
to translate customer needs into technical architecture and implementation.
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Own reliability and performance
: Optimise systems for speed, scalability, and robustness as the user base grows.
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Contribute to technical direction
and engineering standards, helping shape how we approach problems and build systems.
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Ship regularly and iterate
: Move fast, gather feedback from real users, and continuously improve what you build.
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Work on systems at scale
: Build the dialer infrastructure, agent systems, intelligence pipelines, and data processing engines that only a few companies have needed to construct.
What we're looking for
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Strong technical foundation
: You've built complex systems at scale - whether at a top-tier tech company, in a startup, or through ambitious projects. Proof of building something significant matters more than pedigree.
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Strong backend fundamentals
: Deep knowledge of data structures, algorithms, system design, and performance trade-offs.
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Startup DNA
: Comfort working in a small team, wearing multiple hats, and moving at speed without heavy process.
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AI/LLM experience (a plus)
: Experience building with AI agents, RAG systems, or LLM-powered features is valuable but not required.
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End-to-end ownership mindset
: You've shipped something meaningful on your own—a project, open source tool, or business—and you drive work from conception to production.
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Modern backend fundamentals
: Comfortable with modern backend languages and frameworks, plus exposure to databases and infrastructure tooling. Strong fundamentals matter more than a specific language.
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Problem-solving orientation
: You think systematically about complex problems and make pragmatic decisions about trade-offs.
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Collaborative mindset
: You enjoy working closely with small, ambitious teams and can communicate ideas clearly with engineers and non-technical stakeholders.
What you'll need
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Professional software engineering experience
: 3+ years for mid-level roles, 5+ years for senior roles.
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Strong backend and full-stack web development skills
: Comfortable building scalable servers, APIs, and databases.
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Computer science fundamentals
: Solid grasp of data structures, algorithms, system design, and performance optimization.
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TypeScript/JavaScript or equivalent
: Production experience with modern backend languages and frameworks.
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Database and infrastructure knowledge
: Experience designing schemas, optimizing queries, and working with modern databases (SQL/NoSQL).
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Ability to work in an early-stage environment
: Comfort with ambiguity, evolving priorities, and hands-on technical work.
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Office-first culture
: Based in London, 5 days per week. We believe in-person collaboration drives better decisions and faster iteration.
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Sometimes late hours required
: Critical customer operations occasionally require availability outside standard hours—a sign you're working on something that matters.
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CS degree or equivalent experience
: Academic foundation in computer science or equivalent self-taught depth.
Meaningful equity
: Early-stage equity participation reflecting your impact and contribution to the company's growth.
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Real impact from day one
: Your code directly generates business outcomes. No busywork, no bloat.
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Architectural ownership
: Own systems end-to-end, from design through production and iteration.
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Work on rare systems
: Build infrastructure that most engineers have only read about—dialer systems, AI agents, real-time intelligence pipelines.
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Small, senior team leverage
: A handful of engineers with significant autonomy shipping systems that power outcomes for hundreds of customers.
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Early-stage upside
: Join at a critical growth inflection point with product-market fit and clear trajectory.
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Proven business model
: Work on a product that customers actively pay for and rely on—the most motivating kind of problem to solve.
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Direct relationship with leadership
: Close collaboration with founders and product leadership means your ideas shape the direction.
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Opportunity to grow
: As the company scales, so do the opportunities for technical depth, mentorship, and leadership.
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Meaningful equity
: Early-stage equity participation reflecting your impact and contribution to the company's growth.