🎁 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 →
Senior Design Engineer AI / LLM / RAG Platform Role Summary Design and build AI-powered Service Assurance solutions for telecom operations. Develop LLM, RAG, and Agentic AI capabilities to automate troubleshooting, RCA, and operational workflows. Build production-grade Python services and AI platforms that support autonomous network operations. Key Responsibilities AI / GenAI Design and develop LLM-powered operational assistants and copilots. Build and optimise RAG pipelines using enterprise knowledge, alarms, KPIs, logs, tickets, and documentation. Develop Agentic AI workflows for RCA, alarm analysis, incident triage, and recommendation generation. Implement prompt engineering, embeddings, semantic search, and response evaluation. Improve AI accuracy, grounding, and explainability. Python Engineering Develop scalable backend services using Python. Build APIs and microservices using FastAPI/Flask. Create automation pipelines for data ingestion, analysis, and AI orchestration. Deliver production-quality, maintainable, and testable code. Cloud & Platform Develop and deploy applications on Kubernetes/OpenShift. Work with containerised microservices and cloud-native architectures. Implement observability, monitoring, logging, and CI/CD integration. Telecom Service Assurance Apply AI to alarm correlation, KPI analytics, RCA, and incident management. Work with OSS, FM/PM systems, topology, inventory, alarms, logs, and telemetry data. Collaborate with telecom SMEs to convert domain knowledge into AI playbooks and workflows. Job Requirements Experience 4-8 years of software/platform engineering experience. 1-3 years of hands-on experience in GenAI, LLM, RAG, AI Assistants, or Agentic AI solutions. Mandatory Skills Programming Python (Expert Level) REST APIs FastAPI / Flask Microservices Architecture Git & CI/CD AI / LLM Large Language Models (LLMs) RAG Architecture Prompt Engineering Vector Databases Embeddings Semantic Search AI Evaluation & Guardrails AI Frameworks LangChain LangGraph LlamaIndex Semantic Kernel Azure OpenAI / OpenAI APIs Hugging Face Cloud Native Docker Kubernetes OpenShift Preferred Skills Telecom domain knowledge (4G/5G/IMS/OSS). Knowledge Graphs. AI-driven root cause analysis. AIOps and observability platforms. Multi-Agent AI systems. Incident management and service assurance. Ideal Candidate Strong Python developer with hands-on LLM/RAG implementation experience. Has built real-world AI copilots, chatbots, or knowledge assistants. Can design end-to-end AI solutions rather than only consume AI APIs. Comfortable handling telecom operational data such as alarms, logs, KPIs, and tickets. Able to mentor junior engineers and drive technical architecture decisions. .
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.