🎁 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 →
We are looking for an experienced Principal Software Development Engineer AI (SDE IV) to lead the design, development, and delivery of enterprisegrade AI solutions. The ideal candidate will have deep expertise in Agentic AI, Large Language Models (LLMs), and MLOps, along with a strong track record of leading technical teams and delivering AIdriven products from concept to production. This role combines handson technical leadership with responsibility for driving the organization's AI Center of Excellence (CoE). Key Responsibilities Lead the design, development, and deployment of scalable AI/ML solutions and enterprisegrade Agentic AI applications. Define and execute the technical roadmap for the AI Center of Excellence, aligning AI initiatives with business objectives. Architect and implement LLMpowered applications, AI agents, RAG pipelines, and orchestration frameworks. Build and optimize ML/DL models, including training, finetuning, evaluation, and production deployment. Establish MLOps best practices for model versioning, deployment, monitoring, governance, and lifecycle management. Lead rapid prototyping, proofofconcepts (PoCs), and pilot implementations for emerging AI use cases. Provide technical leadership, mentor AI engineers, and conduct architecture and code reviews. Collaborate with product, engineering, and business stakeholders to translate requirements into scalable AI solutions. Ensure AI solutions meet performance, reliability, security, and scalability standards. Evaluate emerging AI technologies and recommend innovative approaches to enhance enterprise AI capabilities. Required Skills & Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 6+ years of overall software development experience, including 5+ years of handson experience in AI/ML solution design and development. Proven experience leading AI engineering teams and managing multiple technical projects. Strong expertise in Agentic AI architectures, LLMs, RAG, prompt engineering, and AI orchestration frameworks such as LangGraph, LangChain, or similar. Handson experience with Python and AI/ML frameworks including PyTorch, TensorFlow, and Hugging Face. Strong understanding of MLOps, model deployment, monitoring, experiment tracking, and AI lifecycle management. Experience developing and deploying AI solutions on AWS, Azure, or GCP. Knowledge of vector databases, embeddings, and enterprise AI integration patterns is preferred. Excellent problemsolving, communication, stakeholder management, and technical leadership skills. .
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.