About the role
At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. \n Your future position Kpler has an opening for a Backend Engineer to build the platform behind our AI products: the services that power LLM agents serving analysts and customers across the commodity markets we cover. You will design and ship production services, integrate language models and external tools, and follow the "You build it, you run it" philosophy, owning your code from development through production. This role offers a stimulating environment where you can build state-of-the-art GenAI solutions that directly impact how thousands of users interact with complex data. You'll work at the frontier of AI and UX, with the freedom to experiment, learn, and shape the future of AI-powered data analysis. What you will work on: Designing and extending backend services that orchestrate language models, tools, and data sources. Building, instrumenting, and maintaining agentic workflows: tool integrations, planners, structured outputs, retries, evaluation pipelines. Improving reliability, latency, and cost of streaming inference. Writing the evaluation harness that lets us change models and prompts without regressing quality. Working with product, analysts, and frontend engineers on features end-to-end. Stack: Python (or other applicable languages), FastAPI, PostgreSQL, Docker, Kubernetes, AWS, GCP, OpenTelemetry, agent frameworks. You may not have used every one of these, but you should have shipped production systems with most of them. What we are looking for: Production backend experience . Mid: roughly 5+ years of production Python (or another typed language with comparable depth). Senior: 7+ years, including ownership of services in production. We value demonstrated work over number of years. Strong async fundamentals . You can reason about `asyncio` event loops, cancellation, exception propagation, and back-pressure. You reach for async when it solves a real problem, not by default. Hands-on with LLM systems . You have shipped applications that use language models in production (tool calls, structured outputs, streaming, retries, evaluation, tracing), and can speak concretely to the engineering problems each of those raises. Production observability. When an agent gives a wrong answer, you find the cause in the traces. You instrument new code so the next failure is debuggable too. Engineering judgement . You make systems simpler when you touch them. You trust subtraction more than abstraction, and you can defend a design choice under questioning. Critical user of AI dev tooling . You use coding agents like Claude Code, PI or Cursor every day, and you know what they are doing on your behalf: skills, hooks, MCP servers, context injection. You have specific opinions about where these tools fall short. Please note, this is not not a research role. We build production systems that use research. This is also not a prompt-engineering role. Who tends to thrive here: Engineers who are curious about LLMs without being credulous about them. Engineers who can move quickly when the path is clear, and who slow down for the parts that need care. Engineers who reach for an abstraction when it earns its place. Engineers who care about the domain they are working in as much as the tools they are using. \n We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us? We make things happen We act decisively and with purpose, going the extra mile. We build together We foster relationships and develop creative solutions to address market challenges. We are here to help We are accessible and supportive to colleagues and clients with a friendly approach. Our People Pledge Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job