Python Developer - Build an AI Analyst (Energy Markets) in London

Python Developer - Build an AI Analyst (Energy Markets) in London

London Full-Time 36000 - 60000 € / year (est.) No home office possible
Modo Energy

At a Glance

  • Tasks: Build an AI analyst for energy markets using Python and cutting-edge tech.
  • Company: Join Modo Energy, a mission-driven startup focused on the energy transition.
  • Benefits: Enjoy top-tier healthcare, flexible leave, and a fun hybrid work environment.
  • Other info: Collaborate in a small, dynamic team with excellent growth opportunities.
  • Why this job: Make a real impact in the energy sector while working with innovative AI tools.
  • Qualifications: 5+ years of Python experience and strong backend engineering skills required.

The predicted salary is between 36000 - 60000 € per year.

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, making constant decisions about how to structure LLM interactions, what data to surface and 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.

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 snack 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.

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.

Python Developer - Build an AI Analyst (Energy Markets) in London employer: Modo Energy

Modo Energy is an exceptional employer, offering a dynamic and collaborative work environment where innovation thrives. With a strong focus on employee growth, we provide opportunities for professional development while working on cutting-edge AI solutions in the energy sector. Our hybrid work model, competitive benefits including top-tier healthcare, and a commitment to diversity make Modo Energy a rewarding place to build a meaningful career.

Modo Energy

Contact Detail:

Modo Energy Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Python Developer - Build an AI Analyst (Energy Markets) in London

Tip Number 1

Network like a pro! Reach out to folks in the energy and AI sectors on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a GitHub repo with projects that highlight your Python prowess and experience with AI tools. This is your chance to demonstrate what you can do beyond the application.

Tip Number 3

Prepare for those interviews! Brush up on your knowledge of energy markets and be ready to discuss how your skills can contribute to Modo Energy's mission. Confidence is key!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.

We think you need these skills to ace Python Developer - Build an AI Analyst (Energy Markets) in London

Python
Backend Engineering
API Design
FastAPI
AWS
Terraform
AI Coding Tools

Some tips for your application 🫡

Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see your experience with backend engineering and how you've tackled real-world problems using Python. Don't hold back on showcasing any projects or tools you've built!

Get Familiar with AI Tools:Since we're all about AI at Modo Energy, let us know how you've used AI coding tools like GitHub Copilot or Claude Code. Share specific examples of how these tools have helped you in your projects. We love seeing candidates who are up-to-date with the latest tech!

Tailor Your Application:Take a moment to tailor your application to our job description. Mention your experience with AWS, FastAPI, and any relevant projects that align with our mission. This shows us you're genuinely interested in the role and understand what we’re looking for.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it gives you a chance to explore more about our company and culture!

How to prepare for a job interview at Modo Energy

Know Your Python Inside Out

Make sure you brush up on your Python skills, especially around backend engineering. Be ready to discuss your experience with FastAPI and how you've structured APIs in the past. They’ll want to see that you can write clean, maintainable code and understand the full lifecycle from design to deployment.

Familiarise Yourself with AI Tools

Since this role involves expert-level use of AI coding tools, get comfortable with tools like Cursor, Claude Code, or GitHub Copilot. Be prepared to share examples of how you've used these tools effectively in your projects and when you’ve had to step in and make adjustments.

Understand Energy Markets

Even if you don’t have direct experience in energy markets, do some research! Understanding the basics of how energy systems work and the current trends will help you engage in meaningful conversations during the interview. It shows you’re genuinely interested in the field.

Showcase Your Team Spirit

Modo Energy values collaboration in a small team environment. Be ready to discuss how you’ve worked in cross-functional teams before, how you handle trade-offs, and your approach to problem-solving. Highlight any experiences where you’ve taken ownership of a project and delivered results.