Python Developer Build an AI Analyst (Energy Markets)
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About Modo Energy
The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it.
We build the benchmarking forecasting and valuation tools that the worlds most serious energy investors developers and operators depend on to make decisions. If a battery gets financed built or traded anywhere in the world theres a good chance Modo data was in the room.
Founded in 2019 were 75 people across London New York Sydney and Madrid; $30M Series B AI-native and moving fast.
This is a rare chance to join a category-defining company at the moment its scaling globally.
The role
Were hiring a Backend Python Engineer to join the team building the Modo Energy Terminals AI Analyst - an LLM-powered product that lets customers interrogate our data and research in natural language. Think of it as a domain expert who knows everything Modo Energy has ever published and can pull live market data on demand.
Youll work in a small cross-functional team with significant autonomy. Youll own the codebase set the standards and ship production AI systems; agent orchestration RAG pipelines tool-calling architectures and the APIs that connect them to real-world energy data.
What Youll Do
- Build and improve the agentic backend: LangChain-based orchestration tool design retrieval pipelines and prompt engineering running on FastAPI
- Design tools (MCPs CLIs APIs) that let LLMs work effectively with energy market data strict guardrails sensible aggregation outputs that fit within token budgets
- Build monitoring and evaluation infrastructure to ensure the system gives answers customers can trust
- Work directly with energy analysts and data scientists to validate accuracy and usefulness
- Own AWS infrastructure and deployment across the full lifecycle local development through to production using Terraform
What Were Looking For
The Essentials
- 5 years of Python with strong backend fundamentals clean well-structured code comfortable owning services end-to-end from API design through to deployment and monitoring
- Production experience with AWS and infrastructure-as-code (Terraform)
- Proficiency with FastAPI or a comparable async Python framework
- Expert-level use of AI coding tools (Cursor Claude Code GitHub Copilot or similar) - knowing when to trust them when to intervene and how to get the most out of them
- Good taste and judgment youll be making constant decisions about how to structure LLM interactions what data to surface and when something is ready to ship
Nice To Have
- Hands-on experience building LLM-powered applications - LangChain agentic systems RAG pipelines or tool-calling architectures
- Familiarity with energy markets
Equal Opportunity & Legal
Modo Energy is an equal opportunity employer. Employment decisions are made on the basis of qualifications merit and business need. We do not discriminate on the basis of age national origin physical or mental disability race religion pregnancy sexual orientation gender identity veteran status or any other characteristic protected under applicable UK law including the Equality Act 2010.
If you require assistance or a reasonable accommodation during the application or interview process please contact us at .
What You Can Expect From Us
At Modo Energy we believe that exceptional work deserves exceptional reward. Were a high-performance team; ambitious collaborative and genuinely motivated by the scale of what were trying to build.
Youll have real ownership from day one work alongside some of the brightest people in the industry and be part of a company thats defining a new category in the global energy market. Were hybrid: everyone works Tuesday to Thursday in office with Monday and Friday flexible. We offer top-of-market compensation equity for every employee and the space to take your career wherever you want it to go.
Were looking for people who want to do the best work of their careers. If thats you we want to talk.
Required Experience:
IC
