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We are looking for AI-native Engineers who can build applications using AI and full-stack technologies, leveraging modern tools like Copilots, Agents, and LLMs to deliver production-ready solutions. You will work in an environment where: Code is co-created with AISpecs are translated into working systems using AI toolsSpeed, quality, and product thinking matter equallyResponsibilitiesBuild and scale AI-native applications from prototype to productionTranslate PRDs into working systems using AI-assisted developmentDesign and develop full-stack solutions (frontend, backend, APIs)Integrate LLMs, RAG pipelines, and embeddings into real-world use casesLeverage AI tools (Copilot, Cursor, Claude) to accelerate developmentOptimize performance, cost, and reliabilityRequirementsExperience building APIs (REST/GraphQL)Frontend React or similar frameworksAI / LLMs RAG and embeddings exposureInteraction with agents & agentic workflow (Nice to have)Tools Copilot, Cursor, ClaudeLangChain, LlamaIndex (Nice to have)Cloud Deployment and debugging awarenessCore Skills Product thinking and user-focused developmentLLM integration and debuggingAI workflows and automation understandingPerformance, cost, and reliability awarenessExperience Bands36 Years Build end-to-end features independentlyWork on RAG and AI workflows in productionImprove system performance and reliability68 Years Design AI systems and architecturesHandle ambiguity and lead technical decisionsMentor team and define best practicesNice to HaveExperience working with agent-based systems and agentic workflowsBuilt copilots, internal tools, or automation-driven applications using AIExposure to fast-paced product or startup environmentsExperience in building benchmarking frameworks for LLMs (A/B testing, offline and end-to-end evaluation) to measure quality, latency, and cost trade-offsUnderstanding of LLM proxy patterns including routing, caching, safety filters, and rate limiting across multiple models/vendors .
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.