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Job Description

Senior Backend Engineer | AI Infrastructure | London (Hybrid)

We’re partnering with a fast-growing AI infrastructure startup that’s redefining how organizations deploy and scale AI technologies. Their platform enables global enterprises to implement, monitor, and continuously improve their AI and tech rollouts — giving teams true “speed-of-innovation” superpowers.

Backed by strong revenue growth and elite investors, this small team is already delivering to paying enterprise clients — and scaling fast.

The Role

As a Senior Backend Engineer, you’ll take ownership of core backend systems powering an advanced AI platform that integrates production-ready LLMs and agentic systems.

You’ll architect scalable backend services, build RAG pipelines, and integrate AI components into distributed systems that enable real-world, production-scale AI deployment.

What You’ll Do

Architect and develop backend systems (Python, FastAPI, Flask, NodeJS) Design and implement RAG pipelines (LangChain, Qdrant, embeddings) Build ETL & CI/CD workflows (Airflow, dbt, MLFlow) Integrate AI/LLM components into backend services Ensure reliability, scalability, and maintainability across systems Collaborate with a small, elite team of engineers and AI researchers

About You

4+ years of backend experience (Python, distributed systems, async APIs) Proven experience integrating AI or LLM systems (LangChain, vector DBs, etc.) Hands-on with some of Airflow, dbt, MLFlow, ETL, and CI/CD workflows Experience in early-stage startup environments — self-starter mindset Excited by ambiguity, ownership, and building from zero to one Ideally: background in workflow automation, process analytics, or user-driven tech platforms

The Offer

£80,000–£105,000 base salary (DOE) (can scale higher for strong candidates) Equity options + startup benefits package Hybrid work (2–3 days/week in London) No sponsorship available

⚡ Why Join

Build the foundation of a world-first Agentic Tech Deployment Platform Work hands-on with LLMs and AI integrations at production scale Join a world-class team at the intersection of AI, infra, and enterprise scale Shape key systems, have real ownership, and grow as the company scales

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.