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Junior AI Engineer ## Our stack You don't need every item below — know some and be eager to learn the rest. - Agent frameworks: LangGraph / LangChain — building agents, subagents, and orchestrated subagent fleets. - Frontend: React, React Native. - Backend: Node.js. - Models (we're model-agnostic): Claude / Anthropic, OpenAI / Codex, DeepSeek, Gemini, Sakana — routing across multiple models per task. - Agent infrastructure: MCP servers, subagent orchestration, short-term and long-term memory systems. - Data: integrating external data sources into agents; synthesizing unstructured/structured data into models; scraping (bonus). - Domain (preferred): blockchain data, blockchain RPC, stablecoins. ## The role You'll build and ship features for our consumer AI products — turning models into experiences people actually use. You'll work closely with senior engineers, designers, and product, owning real pieces of the product from day one. Ideal for someone early in their career who learns fast and wants to ship. ## What you'll do - Build user-facing features powered by LLMs and other models (prompting, retrieval, tool use, agents). - Integrate third-party model APIs (Anthropic, OpenAI, etc.) and internal services into the product. - Write evals and run experiments to measure and improve output quality, latency, and cost. - Prototype quickly, then harden what works into reliable, production-grade code. - Collaborate with product and design to translate ideas into shipped features. ## What we're looking for - 1–2 years of software engineering experience (internships and strong personal/side projects count). - Solid fundamentals in JavaScript/TypeScript (Node.js) and/or Python. - Some hands-on experience with React or React Native. - Hands-on experience building something real with LLMs or AI APIs — a side project, hackathon app, or shipped feature. - Curiosity about agent frameworks (LangGraph / LangChain) and working with multiple AI models. - Comfort working across the stack to get a feature in front of users. - Speed and a bias toward shipping and iterating. ## Nice to have - Experience building agents or subagents, or wiring up tools/MCP servers. - Familiarity with RAG, evals, or giving agents memory (short- or long-term). - Experience integrating external data sources into an app or model; scraping unstructured data. - Exposure to multiple model providers (Claude, OpenAI, DeepSeek, Gemini, Sakana). - Experience in crypto, fintech, or payments , or with blockchain data / RPC / stablecoins. - A portfolio of consumer apps or AI demos you can show us. As part of the screening process, please kindly include the following at the bottom of your resume/application: 1. Your top two favorite products 2. One of your favorite apps and one of your favorite brands, with a brief explanation of why you like them 3. A URL link to your portfolio Please note that applications with this information will be preferred over those without.
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.