> Markdown version of [/jobs/ext/3330362-senior-backend-engineer-ai](https://www.wearedevelopers.com/jobs/ext/3330362-senior-backend-engineer-ai). 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 (AI) - **Company:** Currence - **Location:** London, UK - **Experience:** Expert - **Salary:** £74,152.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Cloud Computing, Elasticsearch, Python (Programming Language), PostgreSQL, SQL Databases, TypeScript, ReactJS, Retrieval-Augmented Generation, Large Language Models, Backend, Data Layers, Kubernetes, Performance Monitor, Data Pipelines - **Published:** September 30, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5902862711 ## About the Role We work primarily with Python, SQL, TypeScript/React and are hosted on AWS. But don't worry too much about having experience with the specific tech stack - we are generally looking for people with strong core engineering skills and principles. We are looking for polyglots who believe specific technologies are just tools for tackling problems., * 5+ years experience as a Software Engineer or equivalent * Experience in data and AI engineering deploying AI applications in production, including RAG pipelines, agent orchestration, and performance monitoring. * Proven history developing and maintaining production-grade software and systems * Wanting to work in a small fast-moving team with high ownership and impact. Big Plus * Experience working with data pipelines at scale * Experience with cloud infrastructure (AWS), Dagster, Kubernetes, and high-throughput background processing * Working understanding of energy and climate tech sectors ## Description You'll be working across our AI back-end (Python, Dagster) and the data layer (Postgresql, Elasticsearch, Iceberg). The kind of problems you may cover include: * Design, build, evaluate and deploy automations for agentic workflows, retrieval strategies, and LLM-powered data pipelines. * Creating evals for multi-step agent workflows * Add proactive intelligence inside the data pipelines from ingestion all the way to consumption * Create interfaces that make agent behavior easier to inspect, steer, and trust by internal users You can also expect to: * Work closely with product, research and commercial teams to define what "good" looks like * Take ownership of our codebase, balancing high-quality code, security and speed of development * Own and drive forward PoCs and solve broad technical challenges