🎁 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 →
Job Description About Persistent We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix Assessment 2026 and Software Product Engineering PEAK Matrix Assessment 2026. About Position: We are looking for an experienced AI Infrastructure & Security Engineer to build, secure, and optimize enterprise-grade AI platforms. In this role, you will deploy and manage large language models such as LLaMA 3.1 70B and Mistral on GPU infrastructure, orchestrate AI agents using Kubernetes, and develop MCP servers to support scalable AI workflows. You will design robust security architectures, implement audit logging, configure vector databases such as ChromaDB and Weaviate, and establish guardrails for safe AI operations. The ideal candidate combines strong expertise in AI infrastructure, platform engineering, Kubernetes, vector databases, and AI security best practices. Role: AI Engineering Location: Gurugram Experience: 8 to 12 Years Job Type: Full-Time Employment What You'll Do: Deploy, optimize, and manage on-premise LLMs on GPU infrastructure. Set up and maintain Kubernetes clusters for AI agent deployments. Design and implement secure RBAC and access control frameworks. Develop, maintain, and scale MCP servers and AI platform services. Configure ChromaDB/Weaviate, including indexing, chunking, and hybrid search tuning. Implement AI security controls, audit logging, guardrails, and monitoring pipelines. Expertise You'll Bring: Strong experience in Generative AI (GenAI), LLM applications, and AI agent architectures. Hands-on expertise with Google ADK, A2A (Agent-to-Agent) Protocol, and Multi-Agent Frameworks. Proficiency in Python development and backend system design. Experience with Prompt Engineering, structured prompting, and LLM orchestration. Knowledge of LangGraph, CrewAI, AutoGen, or similar agentic AI frameworks. Strong understanding of MCP (Model Context Protocol), tool integration, and tool registration. Experience with Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS, Milvus, etc.). Expertise in designing LLM-powered workflows, task delegation, and inter-agent communication. Experience implementing JSON Schema Validation, structured outputs, and confidence scoring mechanisms. Strong problem-solving skills with experience in AI system design, testing, and optimisation. Familiarity with REST APIs, microservices, and cloud platforms (AWS/Azure/GCP) is preferred. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let s unleash your full potential at Persistent .
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.