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Role Overview We are seeking highly skilled Performance Engineers with strong expertise in testing AI agents and AI platforms . The ideal candidate will combine deep performance engineering skills with AI awareness , ensuring scalability, reliability, and efficiency of next-generation AI workloads. Key Responsibilities - Performance Testing of AI agents and platforms, focusing on latency, throughput, and resource utilization. - Design and execute load and stress tests for AI-driven applications. - Collaborate with AI developers to identify bottlenecks in model inference and optimize system performance. - Implement monitoring solutions for AI pipelines , ensuring observability across distributed systems. - Provide detailed performance reports and recommend optimization strategies . - Ensure compliance with scalability and reliability standards in cloud AI environments . Required Skills - Strong background in performance engineering (load testing, profiling, benchmarking). - Hands-on experience with tools like JMeter , Locust , or Gatling . - Familiarity with AI/ML concepts (model training, inference, evaluation metrics). - Knowledge of GPU/CPU utilization and distributed computing. - Experience with cloud platforms (Azure AI, AWS Bedrock, Google Vertex AI). - Strong analytical and problem-solving skills with ability to debug complex performance issues. Preferred Qualifications - Exposure to AI observability tools (Prometheus, Grafana, OpenTelemetry). - Experience with vector databases and caching strategies. - Prior work on multi-agent systems . - Understanding of AI evaluation metrics such as accuracy, precision, recall, and hallucination rate. Location - Open to candidates in Pune with solid availability. Availability - Immediate joiners preferred . .
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.