🎁 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 →
About Truebyl Truebyl is a technology specialist company headquartered in London, UK. We offer lightweight SaaS- based products and services for the agile monetization of subscription businesses. We at Truebyl support our global clients with cloud-enabled, multi-tenant, scalable, and support platforms across multiple industry verticals. We help subscription businesses with growth and customer retention and respond proactively to their changing needs in a frictionless manner. Truebyls vision is to accelerate revenue delivery in the subscription economy by integrating all key workflows on one SaaS platform. Built on years of experience in real-time rating and consumption billing of digital services, our management team has proven the ability to launch and scale soft SaaS businesses Truebyl simplifies billing complexity and automates key Subscription Business Management processes so that businesses can seamlessly control product configuration, invoicing, payment, and collection while supporting real-time consumption-based data delivery. Job Description We are seeking a hands-on, highly skilled AI Engineer to architect, build, and deploy open source-based Agentic AI systems. This role is central to the development of a distributed AI agent architecture that powers our intelligent edge and centralised platforms. You will work on developing both lightweight and larger-scale AI agents to execute autonomous workflows and coordinate distributed sensing and decision-making. The ideal candidate has strong experience in designing agent-based systems using open source large language models (LLMs), building on embedded platforms, and coordinating between distributed components through efficient orchestration layers. What We Offer Opportunity to work on frontier AI technologies with real-world impactAgile, innovation-led team with deep expertise in telecom and AIFlexible working arrangementsExposure to global markets and leadership opportunities as we scale Qualifications And Skills Required Proven experience in developing Agentic AI systems using open-source LLMs (e.g., 7B class models and smaller)Strong knowledge of machine learning, NLP, and LLM fine-tuning/integrationExperience in software architecture, including distributed system design and orchestrationHands-on development skills in Python, Rust or Go, and familiarity with modern AI stacksAbility to rapidly prototype and iterate in collaborative product teamsDemonstrated ability to build and coordinate systems with both edge and central agents Location: Kolkata, India (preferred) / Remote within India Experience: 4-7 years in Software Systems You can drop your resume at sriparna.bodhak@ushamartintech.com .
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.