Job Title: Frontend Developer Company: FastCode.AI Location: Bangalore (In-office, 5 days/week) About FastCode.AI: We’re a 30-person AI/ML company building production systems for major clients. Our engineers work directly with designers and backend teams to ship real products that power enterprises across industries. Growth here is fast, many of our team members started out writing simple UI components and now lead full-stack delivery for Fortune 500 clients. About This Role We’re hiring a Frontend Developer to join our engineering team. You’ll be responsible for building clean, responsive, and high-performance user interfaces. You’ll work closely with backend engineers and designers to translate complex requirements into simple, elegant user experiences. What You’ll Do • Develop and maintain responsive, high-performance web applications • Implement user interfaces with JavaScript, HTML, CSS, and modern frameworks • Collaborate with backend developers to integrate APIs and services • Ensure scalability, accessibility, and cross-browser compatibility • Write clean, testable code and participate in reviews • Stay current with the latest frontend technologies and practices We’re Looking For • Proficiency in JavaScript, HTML, and CSS • Hands-on experience with React (experience in other modern JavaScript frameworks such as Vue or Angular is also valued) • Familiarity with RESTful API integration • Exposure to visualization/rendering libraries (WebGL, Three.js) • Understanding of performance optimization and accessibility standards • Strong problem-solving skills and attention to detail Nice to Have • 1-2 years of professional experience in frontend development • Contributions to open-source projects Compensation ₹8-16 LPA based on experience Why FastCode.AI • Learn directly from industry veterans who’ve worked at Apple, Mercedes Benz and contributed to world-class research and engineering. • Join alumni who’ve gone on to lead engineering at US startups, co-found companies, and become Industry leaders • Work on real production systems for major clients, not just POCs • Ship code that survives Friday deploys and impacts millions • Grow faster than anywhere else, we’ve proven it works! FastCode.AI is an equal opportunity employer committed to building a diverse and inclusive team.
Computer Vision Engineer Role & Responsibilities Design and implement computer vision algorithms and downstream processing Build ML pipelines for data handling, training, and validation Develop robust, efficient, well-tested production code Analyze performance metrics and optimize models Required Qualifications BTech/MTech with proven experience in computer vision and ML Strong proficiency in C++ and Python (PyTorch/TensorFlow) Deep understanding of CV models: object detection, semantic segmentation, keypoint detection Knowledge of traditional CV concepts (SIFT, camera calibration, fundamental matrix) Experience with production ML pipelines, from dataset collection to deployment Proficiency in debugging and profiling tools (Nvidia Nsight, etc.) Excellent problem-solving and documentation skills Preferred Qualifications Publications in top-tier CV/ML conferences or journals Experience with both TensorFlow and PyTorch Track record of building algorithms from scratch What We Value Hands-on approach to data analysis and optimization Ability to iterate quickly in early-stage development Clear technical communication and documentation Compensation ₹8-24 LPA, commensurate with experience
As a Computer Vision Engineer, you will be responsible for designing and implementing computer vision algorithms and downstream processing. You will also be building ML pipelines for data handling, training, and validation. Your role will involve developing robust, efficient, and well-tested production code. Additionally, you will be analyzing performance metrics and optimizing models. Your qualifications should include a BTech/MTech with proven experience in computer vision and ML. You should have a strong proficiency in C++ and Python, particularly in PyTorch and TensorFlow. A deep understanding of CV models such as object detection, semantic segmentation, and keypoint detection is essential. Knowledge of traditional CV concepts like SIFT, camera calibration, and the fundamental matrix is also required. Experience with production ML pipelines, from dataset collection to deployment, is expected. Proficiency in debugging and profiling tools like Nvidia Nsight is preferred. Your problem-solving and documentation skills should be excellent. Preferred qualifications for this role include publications in top-tier CV/ML conferences or journals, experience with both TensorFlow and PyTorch, and a track record of building algorithms from scratch. In this position, we value a hands-on approach to data analysis and optimization. Your ability to iterate quickly in early-stage development and provide clear technical communication and documentation will be crucial. If you join our team, you can expect a compensation ranging from 16-36 LPA, commensurate with your experience.,