Backend Engineer

We’re looking for a Backend Engineer to help build the foundational infrastructure that allows our client to scale its AI platform to some of the world’s largest companies. This is a hands-on backend and platform role where you’ll work on distributed systems, APIs, data flows, infrastructure, and the systems powering large-scale LLM workloads.

The role is broader than simply building backend features. You’ll own problems end-to-end, from system design and architecture through implementation, production, and ongoing optimisation. You’ll work closely with product engineers to build the infrastructure and internal tooling that keeps them fast and unblocked., * Backend architecture and production systems supporting enterprise customers

• Infrastructure that allows product engineers to focus on building features rather than maintaining plumbing
• Shared abstractions, internal tooling, and sensible platform defaults
• Distributed systems handling large-scale data and batch processing
• Reliable LLM infrastructure dealing with high token throughput, real-time workloads, and unreliable providers
• Core systems around authentication, observability, job orchestration, and reliability
• Performance optimisation and scaling as Conduct moves from early-stage systems to enterprise scale

Stack:

• Kotlin backend with the wider Java ecosystem
• PostgreSQL and large-scale data processing
• Temporal for durable execution and job orchestration
• PortKey for enterprise-compliant LLM routing
• Specialised LLM infrastructure and harnesses
• React, Vite, and TanStack on the frontend

What we offer:

• Full-time, in-person role in London
• The opportunity to work on infrastructure powering an AI-native enterprise product
• Significant ownership from day one in a small, talent-dense engineering team
• Complex distributed systems and LLM infrastructure challenges at real enterprise scale
• Direct impact on the developer experience and reliability of the entire engineering organisation
• A high-velocity, low-ego environment with strong engineering ownership
• The opportunity to work on systems where the infrastructure decisions you make directly shape how the company scales

• 3+ years of backend engineering experience, ideally with exposure to platform or infrastructure work
• Strong system design instincts and the ability to own problems across APIs, infrastructure, and data flows
• Experience with distributed systems, PostgreSQL at scale, queueing, and large-scale batch processing
• Comfortable benchmarking and tuning systems under real production load
• Strong engineering fundamentals and a pragmatic approach to architectural trade-offs
• Familiarity with LLM infrastructure and high-throughput AI workloads
• High-agency mindset - someone who identifies problems, fixes them, and raises the engineering bar around them
• Experience with the Java ecosystem; Kotlin is the primary backend language at Conduct

Pay: From £70,000.00 per year