> Markdown version of [/jobs/ext/2064642-senior-backend-engineer](https://www.wearedevelopers.com/jobs/ext/2064642-senior-backend-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Backend Engineer - **Company:** Albert Bow - **Location:** London, UK - **Experience:** Expert - **Salary:** £90,506.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Databases, Distributed Systems, Django Web Framework, Github, Python (Programming Language), PostgreSQL, Open Source Technology, Redis, Model-Driven Development, Large Language Models, Multi-Agent Systems, Concurrency, Backend, Fastapi, Information Technology, Integration Frameworks, Apache Kafka, Celery, Virtual Agents, Data Pipelines - **Published:** August 15, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5843165066 ## About the Role * Excellent software engineering fundamentals CS fundamentals actually matter here * Strong production experience with Python * Strong backend/API engineering experience * Experience building and shipping 0*1 products or significant greenfield systems * Strong understanding of distributed systems, databases, concurrency and asynchronous processing * Hands-on experience with LLMs, AI agents, RAG, embeddings or model-driven applications * Someone who can look at an ambiguous problem and work out the architecture rather than waiting for someone else to define it * A track record of shipping GitHub, products, side projects, startups, whatever proves you build You'll stand out if you've worked with * FastAPI / Django * PostgreSQL * AWS * Redis / Celery / Kafka * Vector databases * Agent orchestration / tool calling * RAG / retrieval systems * LLM evaluation and observability * AI-native products * High-growth startups * Strong open-source projects Top university / Computer Science background is highly valued, particularly from places such as Imperial, Cambridge, Oxford, UCL, Edinburgh or Warwick but I'm much more interested in what you've actually built than a university name on a CV. ## Description To be honest this isn't another backend role where you're maintaining an existing platform, adding features to an internal CRM or picking up tickets from a backlog. We're partnering with a well-funded AI company building a completely new product from 0*1, and they're looking for the kind of engineer who gets excited by a blank page. You'll be working directly with the CTO and founders, making real architectural decisions and taking ideas all the way from "could we build this?" * production * real users. The interesting part is the engineering. You're dealing with AI agents, LLM orchestration, APIs, data pipelines, asynchronous processing, third-party integrations and the reliability problems that come with putting AI into production. There's no perfectly defined technical specification waiting for you. You'll have to figure it out. If you're a strong Software Engineer with Python/backend fundamentals, a strong CS foundation and you've already built products that made it into production this is the sort of role I want you to see. What you'll actually be doing * Architect and build the backend from the ground up you'll have a genuine say in how the system is designed * Take ideas from 0*1, through architecture, implementation, deployment and iteration * Build high-performance APIs, background workers, data pipelines and third-party integrations * Design and ship AI agent workflows, including LLM orchestration, tool calling and retrieval * Solve problems around latency, reliability, observability, cost and model performance * Make the difficult calls around architecture, infrastructure and technical trade-offs * Work directly with the CTO and founders - no six layers between you and the decision * Ship to real users, learn from what breaks, and improve it ## Related Videos - [Celery on AWS ECS - the art of background tasks & continuous deployment](https://www.wearedevelopers.com/videos/561-celery-on-aws-ecs-the-art-of-background-tasks-continuous-deployment) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Walking into the era of Supply Chain Risks](https://www.wearedevelopers.com/videos/376-walking-into-the-era-of-supply-chain-risks) ## Related Articles - [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers) - [20 Essential Tools For Backend Development](https://www.wearedevelopers.com/magazine/218-20-essential-tools-for-backend-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What’s the Difference Between Frontend and Backend Development?](https://www.wearedevelopers.com/magazine/240-what-s-the-difference-between-frontend-and-backend-development) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)