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.