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.
Who we're looking for:
- 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
What you'll own:
- 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
How to apply:
Send us a short intro about yourself and your relevant experience - and tell us your favourite ice cream flavour (ours is cherry)
Pay: From £70,000.00 per year
Work Location: In person
