
Senior Software Engineer – AI
at Durlston Partners
Posted 19 hours ago
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- Compensation
- Up to £200,000 GBP
- City
- London
- Country
- United Kingdom
Currency: £ (GBP)
Join a category-leading AI start-up in London to build and deploy production-grade conversational AI agents used by major global brands. You'll work end-to-end on modelling, evaluation, orchestration and large-scale reliability, iterating quickly with customers across industries like finance, healthcare and hospitality. The role is in-office and involves owning features from inception to production and experimenting with the latest text and voice models. Compensation is up to £200k base plus equity.
Senior Software Engineer – AI Start-up – London – In-Office – Up to £200k Base + Equity
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.
Responsibilities
- 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.
Qualifications
- 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.





