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Anyvan

Senior Development Engineer (Customer Operations/AI Agents)

Cape TownHybrid · South Africa
Senior · FullTime · Technology
POSTED 4 NOV
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Posted 4 Nov
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Got Drive? Join AnyVan as we make moving anything, anywhere miles better and build a career that moves just as fast.

Back in 2009, our Chairman Angus saw half-empty vans everywhere and knew there had to be a better way! That's how AnyVan began. He set out to create the world's most efficient logistics technology and help halve the number of wasted miles by filling those empty vans.

Since then we've become the nation's favourite way to move, with over 150k five-star reviews and 5 million customers in the UK and Europe. Our team of 400 AnyVanners across London, Cape Town and Bogota is proving that moving doesn't have to cost the earth by helping save 8,520 tonnes of Carbon each year.

We're embedding AI and machine learning across our core platform, not as experiments, but as production systems that drive real business outcomes:

Real-time, intelligent pricing that models true job-level costs and responds dynamically to supply, demand, and market conditions

Predictive demand and routing models that forecast driver availability and optimise job allocation before a customer even books

LLM-powered tooling across our internal and customer-facing products, from intelligent quoting to driver workflow automation

A two-sided marketplace where drivers can buy and sell jobs to maximise utilisation — powered by smart matching algorithms

We’re looking for a senior engineer to help build and scale the AI agents behind our Sales and Customer Service teams. These agents handle real conversations with real customers every day, answering questions, qualifying leads, quoting moves and resolving issues across phone, chat and messaging.

You’ll own them end to end, from designing how they reason and which tools and data they can use, to the evaluation, guardrails and observability that keep them accurate, on-brand and safe in production.

You’ll work closely with our Sales and CS leaders and the agents who use these tools on the front line, so you can see the impact of your work in conversion, response times and customer satisfaction. This is a hands-on role for someone who wants to move LLM-powered systems past the demo stage and into something thousands of customers rely on.

How our engineering teams deliver

We're product-led and agile. Most teams run Scrum with two-week sprints, but we care far more about outcomes than rituals. Engineers are trusted to challenge assumptions, adapt processes, and ship things that matter.

Senior engineers here are not heads-down implementers. You'll

Work closely with product, data, and commercial stakeholders

Influence technical direction and architectural decisions

Balance speed with long-term sustainability

Regularly ship meaningful improvements to production

Our technology

We're pragmatic and cloud-first, running on AWS, with the flexibility to choose the right tool for the job:

Exploring: Go, Rust, React, Node.js

Core stack: Python, Vue.js & Nuxt, TypeScript

Legacy (retiring where we can): Java, PHP, Angular

You don't need experience in everything, we value strong fundamentals and good engineering judgement over keyword matching.

What you'll be doing

Designing, building, and operating production-grade systems that scale

Tackling complex technical challenges across backend, infrastructure, data flows, and AI/ML pipelines

Writing clean, pragmatic, well-tested code with long-term maintainability in mind

Collaborating with technical and non-technical stakeholders to shape solutions

Championing testing, observability, and quality improvements

Mentoring engineers and raising the technical bar across the team

You'll thrive here if you have

Experience in a scale-up or fast-growing product environment

Strong backend engineering skills (Go, Java, Python, or similar)

A solid understanding of distributed systems, scalability, and performance

Experience with CI/CD, modern deployment practices, and cloud infrastructure

Comfort working with ambiguity and evolving requirements

A bias toward action — shipping value quickly, then iterating

A collaborative mindset and the ability to influence beyond your code

Source · AnyvanFirst seen 4 NovOriginal ↗