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# Senior Software Engineer

- **Company:** Durlston Partners
- **Location:** Greater London, UK
- **Experience:** Expert
- **Salary:** £200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Debugging, Distributed Systems, Python (Programming Language), Software Engineering, Data Streaming, TypeScript, Reliability of Systems, Build Management, Low Latency, Asynchronous Programming
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840573122-senior-software-engineer

## About the Role

* 2+ years' experience in software engineering.
 * Strong competence with Python and TypeScript, including asynchronous programming.
 * Ability to debug across deep technical stacks: distributed systems, latency, failure modes, data flows.
 * A strong academic background (top university or equivalent).
 * Curiosity, ownership, and a bias for rapid, high-quality execution in an in-office environment.

## Description

We're supporting a category-leading AI organisation building next-generation conversational agents used by major global brands. Their platform powers intelligent, human-like interactions across chat, email and voice, resolving millions of customer queries in real time and at enterprise scale.

You would join a high-impact engineering team responsible for deploying production-grade AI agents that sit at the core of the product. These agents handle complex, multi-step customer journeys, work alongside human support teams, and directly influence customer experience, retention and revenue.

This environment suits engineers who enjoy working end-to-end across the stack, quickly iterating with customers, and tackling deep technical challenges in reasoning, evaluation, orchestration and large-scale system reliability., * Design and build AI agents that outperform human agents on complex customer interactions.

 * Own features from inception to production, including modelling, evaluation, and integration with customer systems.
 * Work directly with business leaders across sectors such as finance, healthcare, transport and hospitality.
 * Experiment with the latest text and voice models and build scalable, production-ready pipelines.
 * Identify patterns across customers and feed those insights into platform improvements.


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