Backend Engineer in London

At Modo Energy, we're on a mission to build the information architecture for the energy transition - we want to be the only place to come to for information on the global journey to net zero. Take a look at our platform, where we provide open access to an array of content on the energy transition. We're a dedicated and passionate team building a category-defining business, working on one of the world's most important priorities. We are looking for individuals who love product-building, want to work with pace at a mission-oriented startup, and will collaborate with us in shaping the culture of a rapidly growing team.

The role

We are hiring a Backend Engineer to join our AI Analyst team. The AI Analyst is an LLM-powered product embedded in the Modo Terminal that helps customers interrogate our data and research using natural language. Think of it as a domain expert colleague who knows everything Modo has ever published and can pull live data on demand. We're building an agentic system that retrieves articles, queries databases, interprets energy market data, and writes answers that our customers can trust. You'll work in a small cross-functional team with a lot of autonomy.

Responsibilities

• Building and improving our agentic backend: LangChain-based orchestration, tool design, retrieval pipelines, and prompt engineering, running on FastAPI.
• Designing tools (MCPs, CLIs, APIs, etc) that let LLMs work with energy market data effectively: strict guardrails, sensible aggregation, and outputs that fit within token budgets.
• Building monitoring and evaluation infrastructure.
• Working directly with domain experts (energy analysts, data scientists) to ensure the system gives answers that are accurate and useful.
• AWS infrastructure and deployment. We use Terraform and you'll be involved in the full lifecycle from local development to production.

About you

• 5 years Python. Strong backend engineering fundamentals: you write clean, well-structured Python and you're comfortable owning services end-to-end from API design through to deployment and monitoring.
• Real experience with AWS and infrastructure-as-code (Terraform). You've deployed and maintained production services.
• Hands-on experience building LLM-powered applications, ideally with LangChain, but any serious work with agentic systems, RAG pipelines, or tool-calling architectures counts.
• Proficiency with FastAPI or similar async Python frameworks.
• Expert-level use of AI coding tools (Cursor, Claude Code, GitHub Copilot, or similar). Obsessive about keeping up to speed with AI coding developments.
• Good taste and judgment. This matters more than it might sound. You'll be making constant decisions about how to structure LLM interactions, what data to surface, and when something is good enough to ship. We want someone who cares about the end result.
• Comfort working in a small, fast-moving team where you'll be expected to figure things out, make tradeoffs, and ship.

Nice to have:

• Experience with energy markets.

Important Details

• Hybrid Work Environment: This role is hybrid, with time split between working from home and our London office, with in-office days from Tuesday through Thursday.
• Compensation & Benefits: Modo Energy offers a competitive salary along with a comprehensive benefits package, including private top-tier healthcare and dental coverage with Bupa, a pension scheme with employer contribution, 25 days of annual leave (excluding bank holidays), 5 flexible days to be taken on a Monday or Friday, and a day off for your birthday.

Modo Energy is an equal opportunity employer. Our employment decisions are made on the basis of qualifications, merit and business need. We do not discriminate against age, national origin, physical or mental disability, race, religion, pregnancy, sexual orientation, gender identity, veteran status or any other characteristic protected by federal, state, or local law. If you need assistance or a reasonable accommodation with an application or the interview process please contact us via email.