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About Quoreka Quoreka has a formidable presence in the vendor solutions market for metals, energy, and agriculture. Catering to a wide range of asset classes, our company utilizes a cloud-based suite of CTRM and ETRM solutions enhanced by AI/ML technology, alongside Supply Chain Management and E-Sourcing products. Today, we boast extensive CTRM/ETRM expertise across softs, ags, fertilizers/chemicals, liquids, precious metals, concentrates, energy and much more. Quoreka provides the industry with a unique offering that meets the growing demands of commodity traders, energy merchants, miners, and industrials, delivering best-in-class functionality, user experience, technology, and services. Quoreka has over 200 employees and offices across the UK, India, Australia, Switzerland, and Canada, serving :100 customers globally across multiple commodity segments. The Role : As an Agentic Software Engineer reporting directly to the Chief AI Officer, youll rapidly enhance and modernize products across the entire Quoreka portfolio. Our products are systems of record in the commodities world, deeply entrenched in customer workflows; your work will bring them into the AI-enabled future. Its also important to understand that this role is scoped broader and more open-ended than usual and we want someone who prefers it that way. We value quality of work, technical rigor, and the drive to take on hard, ambiguous problems with critical thinking and innovation rather than falling back on conventional frameworks. What You'll Do - Build new user-facing products, from working prototype to production release in days and weeks. Youll work the full stack, from data model and services through to the interface, and iterate with product managers, designers, and customers on direction and scope. Modernize our established products, front-end and the services behind them, to drive new sales and customer retention. Extend our products with AI-native capabilities such as MCP servers so customers can use their own agents to unlock data in the Quoreka platform. Establish the AI-SDLC workflows, test harnesses, and review steps that hold quality steady at agentic pace and own the result end to end, from design to release. What We're Looking For - Must Haves Strong fundamentals, first and foremost. You write clean, maintainable, production-grade code, and you have the judgment to steer an agents output toward the right architecture. 24 years of professional software engineering experience. Expertise in at least one agentic coding tool (e.g., Cursor, Claude Code, or GitHub Copilot). Comfortable working up and down the stack. Our teams span many languages and frameworks, so youll need curiosity and a demonstrated aptitude for steering coding agents through ones you havent used before. Energized by working across teams to share and learn best practices, particularly with GenAI and coding agents. How You Might Stand Out Front-end / full-stack experience building user-facing applications. Youve shipped in Node/TypeScript with React or Angular, Python, or modern desktop frameworks such as Electron or Tauri. Familiarity with enterprise stacks: Java, Microsoft .NET, RDBMS (MSSQL, Oracle). Design sensibility: youve built interfaces that non-technical users enjoy using. Youve already shipped LLM-powered features and MCP servers to production. Experience in financial services, trading, or commodity/energy markets. Why this role- In this role, youll have: A hands-on part in changing how an enterprise engineering team builds and ships commercial software in the GenAI era. Real downstream impact: your output will be used directly by commodities traders moving the raw materials, foodstuffs, and energy that make the world work. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.