Backend Engineer - US

Conduct AI Ltd

• $130K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of backend experience, particularly in platform or infrastructure work.
  • Strong system design instincts with end-to-end ownership across APIs, infrastructure, and data flows.
  • Experience with distributed systems, scaling databases (Postgres), and large-scale batch processing.
  • Ability to benchmark and tune systems under real load, making pragmatic trade-offs in ambiguous situations.
  • Familiarity with large language model (LLM) infrastructure at scale.

Responsibilities

  • Accelerate product teams by building platforms that allow engineers to focus on product development.
  • Design and maintain infrastructure that meets enterprise reliability requirements as the company scales.
  • Ensure high token throughput and real-time usage for LLM infrastructure, making it reliable.
  • Build well-designed systems from the start, covering areas like authentication, observability, and job orchestration.
  • Raise the bar through code, mentorship, and proactive problem-solving.

Benefits

  • Opportunity to work on challenging infrastructure problems with real impact.
  • Broad ownership across architecture and production systems.
  • Collaborative environment that encourages mentorship and skill development.
  • Access to a modern tech stack that prioritizes speed and quality.
Full Job Description
TL;DR: We're looking for exceptional builders who help us design and ship the foundational infrastructure that lets Conduct scale to the world's largest enterprises, while accelerating the product teams building on top of it.

Who we hire

We're looking for pragmatic, high-agency engineers who thrive in ambiguity and care as much about the system as the feature. Fundamentals matter more to us than familiarity with any specific tool. If you're strong, you'll pick it up fast.

You'll stand out if you:
  • Have 3+ years of backend experience with exposure to platform or infrastructure work. You have seen what it actually takes to go from MVP to scalable, production-grade systems
  • Have strong system design instincts and own problems end-to-end across APIs, infrastructure, and data flows
  • Are experienced with distributed systems, scaling databases (postgres), queueing, and large-scale batch processing
  • Understand how to benchmark and tune systems under real load, and know how to make pragmatic trade-offs when the data is ambiguous
  • Are familiar with LLM infrastructure at scale
  • Raise the bar around you - through code, mentorship, and better systems - and fix problems without waiting for permission


What you'll own

You'll have broad ownership across architecture, developer experience and production systems.

The infrastructure problems are real and genuinely hard: we process tens of millions of lines of code per customer, generating large-scale LLM workloads under enterprise-grade reliability requirements. You'll work on the systems that keep product teams fast and unblocked and that hold up as we onboard some of the largest companies in the world.

In practice that means:
  • Accelerating product teams. You build the platform that lets engineers focus on product, not plumbing: shared abstractions, sensible defaults, internal tooling that compounds.
  • Scaling with confidence. You design and maintain infrastructure that meets stringent enterprise reliability requirements and doesn't become fragile as we grow.
  • Taming LLM infrastructure. High token throughput, real-time usage, flaky providers - you make it reliable.
  • Raising the floor, not just the ceiling. From auth to observability to job orchestration, you build systems that are well-designed from the start and don't need to be rebuilt later.


Our Stack

Our stack prioritises what matters: shipping to customers-fast-without compromising on quality and engineering.

Fundamentals are more important to us than familiarity with any technology or tool: if you're strong, we're sure you'll pick it up fast. Here's our setup:
  • React, Vite, TanStack frontend
  • Kotlin backend: Modern and expressive, paired with the maturity, tooling, and depth of the Java ecosystem. Lets us ship fast now without painting ourselves into a corner later.
  • Temporal and PortKey: Absorbs infrastructure complexity around durable execution and enterprise-compliant LLM routing, so we can focus on shipping instead.
  • Specialised LLM Harness: Built from hard-earned experience to give agents maximum freedom and intelligence without compromising on enterprise control, governance, or reliability.

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