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Responsibilities: Lead engineering across AI, physical AI, robotics, and enterprise software products.Own the complete engineering lifecycle from ideation and architecture to deployment and scaling.Build, mentor, and lead a high-performance engineering team.Stay hands-on with system design, architecture reviews, coding, and technical problem-solving.Maximize engineering productivity and execution velocity.Drive engineering excellence, code quality, scalability, and operational reliability.Collaborate closely with founders, product managers, business teams, tech support, and enterprise clients.Translate business ideas into scalable technology solutions. Build an AI-first engineering culture across the organization. Physical AI and Robotics: This role strongly favors candidates with experience building AI systems that interact with the physical world.Experience in one or more of the following is highly desirable: robotics software and autonomous systems; computer vision and multimodal perception; robot perception and sensor fusion; the ROS2 ecosystem; reinforcement learning; edge AI and embedded AI; simulation environments (Isaac Sim, Gazebo, MuJoCo, etc. ) Human-Robot Interaction, Industrial Automation and Robotic Workflows, and Physical AI Data Generation.A significant part of this role involves building the infrastructure required to train the next generation.Physical AI models. You will lead initiatives around: Designing scalable data generation pipelines for physical AI and robotics. Building systems for real-world and synthetic data collection. Creating high-quality data annotation and labeling workflows.Developing simulation-based data generation and domain randomization pipelines. Managing multimodal datasets including video, images, depth, LiDAR, IMU, GPS, and sensor telemetry.Improving dataset quality, coverage, and diversity for model training. Working closely with AI/ML engineers to improve model performance through better AI and machine learning. Requirements: Hands-on engineering experience with increasing technical leadership responsibilities.A hands-on engineering leader who enjoys building as much as leading.Strong system design and architecture skills.Experience building and scaling engineering teams. Bias for action with a startup mindset.Ability to thrive in ambiguity and execute at high speed.Excellent communication and stakeholder management skills.Passion for AI, robotics, and building products that have real-world impact.Strong understanding of modern AI technologies, including Large Language Models (LLMs), Vision-Language Models (VLMs), AI Agents, Machine Learning, Deep Learning, computer vision model training, fine-tuning, evaluation, and deployment of MLOps and AI infrastructure. Technical Requirements: Strong backend engineering expertise using Python. Experience building scalable distributed systems and cloud-native applications.Strong frontend experience with React. Experience building applications using Flutter.Understanding of native Android and/or iOS development.Experience with APIs, microservices, event-driven architectures, and cloud infrastructure.Strong knowledge of DevOps, CI/CD, monitoring, and production operations. Leadership and Stakeholder Management: You will work closely with multiple stakeholders across the organization, including founders' business teams, product managers, engineering teams, tech support, and enterprise clients.You should be equally comfortable discussing product strategy with founders, solving architectural challenges with engineers, and translating technical decisions into business outcomes for customers. .
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.