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  "job_description": "At Modo Energy we’re building an AI-native platform for energy markets — combining LLM agents, retrieval pipelines, and real-time market data to create an AI analyst that can reason about complex energy systems.\n\nOur platform ingests massive volumes of energy market data and proprietary research, and 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.\n\nThe role\n\nWe are 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.\n\nWe’re building an agentic system that retrieves articles, queries databases, interprets energy market data, and writes answers that our customers can trust.\n\nYou’ll work in a small cross-functional team with a lot of autonomy. You will own the codebase and set the standards.\n\nResponsibilities\n• Building and improving our agentic backend: LangChain-based orchestration, tool design, retrieval pipelines, and prompt engineering, running on FastAPI.\n• 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.\n• Building monitoring and evaluation infrastructure.\n• Working directly with domain experts (energy analysts, data scientists) to ensure the system gives answers that are accurate and useful.\n• AWS infrastructure and deployment. We use Terraform and you’ll be involved in the full lifecycle from local development to production.\n\nAbout you\n• 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.\n• Real experience with AWS and infrastructure-as-code (Terraform). You’ve deployed and maintained production services.\n• Proficiency with FastAPI or similar async Python frameworks.\n• Expert-level use of AI coding tools (Cursor, Claude Code, GitHub Copilot, or similar). Obsessive about keeping up to speed with AI coding developments. We write a lot of code with these tools and expect you to be fluent with them: knowing when to trust them, when to intervene, and how to get the most out of them.\n• 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.\n• Comfort working in a small, fast-moving team where you’ll be expected to figure things out, make tradeoffs, and ship.\n• An understanding and appreciation of UI design and the customer experience.\n\nNice to have:\n• Hands-on experience building LLM-powered applications, ideally with LangChain, but any serious work with agentic systems, RAG pipelines, or tool-calling architectures counts.\n• Experience with energy markets.\n\nThe Company\n• 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.\n• 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.\n• 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.\n\nSalary & Benefits\n• Competitive Market Rate - we want the best engineers!\n• Employee Equity Scheme\n• Private top-tier Healthcare and Dental coverage with Bupa, 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. And lots of snacks and drinks – obviously!",
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  "job_posted_at_datetime_utc": "2026-03-18T00:00:00.000Z"
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