🎁 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 →
As a Senior GenAI Developer, you will be responsible for designing, developing, and integrating advanced Generative AI capabilities with security platforms and applying data science techniques to improve decision-making and automation. You will bridge traditional backend engineering with contemporary AI/ML and data engineering practices, leveraging both the .NET and/or Python ecosystems to build intelligent, scalable systems such as Retrieval-Augmented Generation (RAG) pipelines, predictive models, and autonomous agents. Core Responsibilities: Assess workflows and map out prospects to leverage AI, data science, and predictive modeling across security processes. Develop intelligent agents and automated content generation capabilities for security workflows. Enable automation across security processes, including threat analysis, access certification, incident response, and compliance reporting. Partner with cross-functional teams to translate business requirements into robust, AI-driven software solutions. Develop and integrate intelligent features into applications, combining LLMs, statistical models, and data insights. Build and optimize Retrieval-Augmented Generation (RAG) pipelines to improve AI accuracy. Develop scalable, secure backend services using .NET and/or Python ecosystems. Utilize orchestration frameworks (Microsoft Semantic Kernel or Microsoft Agentic etc.) to manage complex AI workflows. Ensure all AI integrations adhere to enterprise security, compliance, and governance standards. Required Skills & Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. 5+ years of experience in .NET development with expert-level proficiency in C#, .NET 8+, and Entity Framework Core. Hands-on experience with Large Language Models (LLMs), prompt engineering, and model fine-tuning. Proven experience with Semantic Kernel, OpenAI SDK, and vector stores (e.g., Azure AI Search). Solid knowledge of RESTful API design and database management. Experience with CI/CD pipelines via GitHub Actions or Azure DevOps, including containerization with Docker and Kubernetes. Preferred: Experience with Dotnet/Python for AI prototyping or scripting. Familiarity with building AI Agents and multi-agent systems. Relevant certifications such as Microsoft Certified: Azure AI Engineer Associate. .
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.