🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Important note: This role requires consistent presence every week in the office, in Pune. About the Role We are looking for a strong software engineer who actively uses AI to build better software faster. This is a backend-heavy engineering role where LLMs and AI systems are integrated into real production applications. You will design, build, deploy, and maintain AI-enabled systems, while maintaining strong engineering discipline and code quality. Key Responsibilities Architect and build scalable backend systems (Python / FastAPI preferred)Integrate LLM APIs, RAG pipelines, and AI workflows into production applicationsDeploy and maintain containerized applications on AWS/AzureUse AI coding assistants and agents to accelerate development, without compromising code qualityConvert ambiguous requirements into production-ready systems Must-Have Skills 4+ years of professional software engineering experienceStrong Python backend experienceExperience building REST APIs and production systemsSolid understanding of system design and clean architectureHands-on experience with Docker and LinuxExperience deploying to AWS or AzureExperience integrating LLM APIs into applicationsExperience with embeddings / vector databases / RAG pipelinesStrong Git and collaborative development workflowsAbility to operate independently in ambiguous environments Most importantly: Strong engineering fundamentalsHigh ownership mindsetComfort using AI tools to move fastDiscipline to maintain structure and quality Good-to-Have Experience with real-time streaming or WebSocketsKubernetes deployment experienceExperience in a fast-paced startup or consulting environmentFamiliarity with agent frameworks or voice/multimodal systems Screening Requirement Please include: A portfolio of systems youve built (especially AI-enabled systems), andA short note explaining how you use AI tools in your development workflow. We are specifically looking for engineers who lean into AI agents and coding assistants, but still understand architecture, performance, and clean code. .
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.