Python Developer - Build an AI Analyst (Energy Markets) London Job at Modo Energ
Modo Energy Limited, New York, NY, United States
Overview London
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 world's most serious energy investors, developers, and operators depend on to make decisions. If a battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room.
Founded in 2019, we're 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 it's scaling globally.
Role We are hiring a Backend Python Engineer to join the team building the Modo Energy Terminal's 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.
You'll work in a small, cross-functional team with significant autonomy. You'll 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 You'll 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 We're 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 — you'll 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
Benefits: Salary sacrifice pension with 3% employer contribution; 25 days annual leave (excluding bank holidays), plus 5 flexible days to be taken on a Monday or a Friday; top-tier private healthcare and dental coverage.
Compensation: £70k - £90k per year
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 careers@modoenergy.com
What You Can Expect From Us At Modo Energy, we believe that exceptional work deserves exceptional reward. We're a high-performance team; ambitious, collaborative, and genuinely motivated by the scale of what we're trying to build.
You'll have real ownership from day one, work alongside some of the brightest people in the industry, and be part of a company that's defining a new category in the global energy market. We're 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.
We're looking for people who want to do the best work of their careers. If that's you, we want to talk.
Note: This description excludes application-specific questions and materials to streamline the job listing.
If hired, would you now or in the future require work authorization to work in the UK?
Are you open to a hybrid work schedule - 3 days in office and 2 days remote?
Describe a backend system or tool you've built with Python that you're proud of. What made it challenging?
Have you built any production agentic applications? If so, describe it briefly. If not, what interests you about working with them?
In 500 characters or less, explain why you’re excited by this role and Modo Energy
What is your current notice period - when you would be looking to start your next role?
#J-18808-Ljbffr
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 world's most serious energy investors, developers, and operators depend on to make decisions. If a battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room.
Founded in 2019, we're 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 it's scaling globally.
Role We are hiring a Backend Python Engineer to join the team building the Modo Energy Terminal's 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.
You'll work in a small, cross-functional team with significant autonomy. You'll 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 You'll 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 We're 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 — you'll 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
Benefits: Salary sacrifice pension with 3% employer contribution; 25 days annual leave (excluding bank holidays), plus 5 flexible days to be taken on a Monday or a Friday; top-tier private healthcare and dental coverage.
Compensation: £70k - £90k per year
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 careers@modoenergy.com
What You Can Expect From Us At Modo Energy, we believe that exceptional work deserves exceptional reward. We're a high-performance team; ambitious, collaborative, and genuinely motivated by the scale of what we're trying to build.
You'll have real ownership from day one, work alongside some of the brightest people in the industry, and be part of a company that's defining a new category in the global energy market. We're 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.
We're looking for people who want to do the best work of their careers. If that's you, we want to talk.
Note: This description excludes application-specific questions and materials to streamline the job listing.
If hired, would you now or in the future require work authorization to work in the UK?
Are you open to a hybrid work schedule - 3 days in office and 2 days remote?
Describe a backend system or tool you've built with Python that you're proud of. What made it challenging?
Have you built any production agentic applications? If so, describe it briefly. If not, what interests you about working with them?
In 500 characters or less, explain why you’re excited by this role and Modo Energy
What is your current notice period - when you would be looking to start your next role?
#J-18808-Ljbffr