Python Developer - Build an AI Analyst (Energy Markets)

At Modo Energy, we're building the global standard for benchmarking and valuing the world's electrification assets — unlocking returns for battery energy storage, solar, wind and data centres. We’re building an AI‑native platform for energy markets that combines LLM agents, retrieval pipelines and real‑time market data to create an AI analyst that can reason about complex energy systems. Our platform ingests massive volumes of energy market data and proprietary research; we’re building an LLM‑powered AI Analyst that can query databases, retrieve articles, interpret datasets and explain market behaviour in natural language. Engineers here work on agent orchestration, RAG pipelines, tool‑calling architectures and APIs that allow AI systems to safely interact with real‑world data. It’s a small team shipping production AI systems with modern Python, FastAPI, AWS and AI‑native developer workflows.

The role involves hiring a backend Python Engineer with expert‑level use of AI coding tools 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 and will own the codebase and set the standards.

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 experience.
• 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.
• Proficiency with FastAPI or similar async Python frameworks.
• Expert‑level use of AI coding tools (Cursor, Claude Code, GitHub Copilot or similar).
• Obsessed about keeping up to speed with AI coding developments.
• Good taste and judgement in structuring LLM interactions and determining when something is good enough to ship.
• Comfort working in a small, fast‑moving team where you’ll be expected to figure things out, make trade‑offs and ship.
• An understanding and appreciation of UI design and the customer experience.

Nice To Have:

• Hands‑on experience building LLM‑powered applications, ideally with LangChain, but any serious work with agentic systems, RAG pipelines or tool‑calling architectures counts.
• Experience with energy markets.

The Company:

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. 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.

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.

Salary & Benefits: 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. And lots of snacks and drinks – obviously!

Modo Energy is an equal‑opportunity employer. Our employment decisions are based on 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 under 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 at careers@modo.energy.

What You Can Expect From Modo Energy: We want to attract and retain the best talent at Modo Energy, and we give our people the freedom and opportunity to develop themselves and flourish. We are committed to building a diverse and inclusive team at Modo Energy, as we believe a variety of backgrounds, skills and interests is what makes our company stronger. If you share our values and our enthusiasm for supporting the transition to greener energy systems, we encourage you to apply. We have a number of positions open which could be for a range of backgrounds and experience levels. Please get in touch if you are interested and you don’t meet all the requirements, or if you exceed them!