Backend Engineer (SDE 3) – Computer Vision

Location: Bangalore (Work From Office) Experience: 5+ Years Compensation: Up to ₹45 LPA Industry: Sports Technology / AI About the Company A fast-growing deep-tech startup building next-generation AI-powered sports intelligence products. The platform combines Computer Vision, Machine Learning, real-time video analytics, and large-scale data processing to deliver actionable performance insights for athletes, broadcasters, and sports organisations.   About the Role We are looking for a Backend Engineer (SDE 3) with strong Computer Vision and AI systems experience to build scalable backend platforms powering real-time sports intelligence. You will work on distributed AI systems, video processing pipelines, inference infrastructure, APIs, and cloud-native services that support production-grade AI applications. This role is ideal for engineers who enjoy solving complex engineering challenges at the intersection of backend systems, computer vision, and machine learning.   Key Responsibilities Build scalable backend services supporting AI and Computer Vision applications. Design and optimize real-time inference pipelines for production environments. Develop APIs and distributed systems for large-scale AI workloads. Build event-driven architectures processing video, motion, and analytics data. Optimize backend systems for latency, scalability, and reliability. Collaborate with AI, product, and engineering teams to deliver intelligent sports analytics solutions. Build data pipelines, vector search systems, and AI infrastructure supporting machine learning workflows. Improve system observability, monitoring, and operational excellence. Participate in architecture decisions and contribute to the long-term technical roadmap. Mentor junior engineers and drive engineering best practices. Required Skills 5+ years of backend software engineering experience. Strong proficiency in Python. Experience building Computer Vision or Machine Learning applications. Hands-on experience with PyTorch, TensorFlow, OpenCV, or similar frameworks. Strong understanding of distributed systems and scalable backend architectures. Experience designing REST APIs and cloud-native services. Experience with AWS, GCP, or Azure. Familiarity with event-driven systems, streaming pipelines, and real-time processing. Strong understanding of databases, caching, and backend performance optimization. Excellent debugging and problem-solving skills. Preferred Qualifications Experience with object detection, tracking, pose estimation, or video analytics. Exposure to vector databases, embeddings, retrieval systems, or RAG architectures. Experience building GPU-accelerated inference pipelines. Familiarity with Kubernetes, Docker, and container orchestration. Experience working on AI products deployed at production scale. Prior experience in sports technology, media technology, or deep-tech startups. What We’re Looking For Engineers who think in systems rather than isolated components. Strong ownership with an end-to-end product mindset. Builders comfortable working in fast-paced startup environments. Passion for AI, Computer Vision, and large-scale backend systems. Engineers who enjoy solving challenging real-world problems with practical solutions. What You’ll Get Up to ₹45 LPA. Opportunity to work on cutting-edge AI and Computer Vision products. High ownership with direct impact on platform architecture. Exposure to large-scale distributed systems and real-time AI infrastructure. Fast-paced startup environment with exceptional learning and career growth opportunities.