Role Overview As a PLC Engineer, you will play a key role in the design, development, and deployment of industrial automation systems. You will be responsible for PLC programming, system integration, and on-site project execution. This role demands strong technical proficiency, practical experience with multiple PLC platforms, and the ability to troubleshoot complex automation systems in real-world conditions. Key Responsibility Develop, program, and troubleshoot PLC- based automation systems. Work with Delta, Omron, Mitsubishi, Allen-Bradley, and other leading PLC platforms Implement and maintain industrial communication protocols, including Modbus RTU/TCP, Profinet, Ethernet/IP, Profibus, CANopen, EtherCAT, DeviceNet, OPC UA, RS485, and RS232 Integrate PLC systems with HMI, SCADA, sensors, actuators, and industrial networks Conduct on-site installation, commissioning, and maintenance of PLC-controlled systems Diagnose and resolve PLC hardware, software, and communication issues Collaborate with cross-functional teams to design and optimize automation solutions Maintain comprehensive technical documentation including wiring diagrams and program backups Provide training and technical support to internal teams and customers Adhere to safety and compliance standards during project execution Key Requirements •Minimum 3 years of hands-on experience in PLC programming and troubleshooting, with proficiency in Delta, Omron, Mitsubishi, and Allen-Bradley systems •Strong working knowledge of industrial communication protocols, including Modbus (RTU/TCP), Profinet, Ethernet/IP, Profibus, CANopen, EtherCAT, OPC UA, RS485, and RS232 •Skilled in reading and interpreting electrical schematics and control system diagrams •Practical experience in SCADA and HMI integration, as well as automation device interfacing (sensors, actuators, VFDs, and servo systems) •Familiarity with machine vision systems such as Cognex, Keyence, Sick, or Omron for inspection and quality control tasks •Exposure to manufacturing and industrial automation environments •Strong analytical and troubleshooting skills with the ability to work both independently and in collaborative settings •Willingness to travel for on-site project execution, commissioning, and customer support
Role Overview As a Product Manager at Frinks.AI, you will play a key role in shaping and delivering core platform features by collaborating closely with engineering, data, and business teams. You will take ownership of the product life cycle from ideation to execution, helping to define product requirements and ensure technical feasibility for seamless implementation of AI-powered manufacturing solutions. Key Responsibility • Collaborate with cross-functional teams including engineering, design, and data science to develop and launch product features Translate complex business needs into clear technical requirements and user stories Manage and prioritize the product backlog, ensuring alignment with company goals Work closely with engineering teams to discuss architectural trade-offs, API designs, and technical constraints Monitor product metrics, perform root cause analysis, and recommend enhancements •Conduct market research, user interviews, and competitor analysis to inform product direction •Support integration of products with internal and external systems, tools, and platforms •Maintain detailed product documentation and knowledge bases Assist with product demos, onboarding, and internal trainings Ensure timely delivery of features by participating in agile ceremonies (sprint planning, retrospectives, etc.) Key Requirements • 4+ years of experience in product management, technical program management, or software engineering Strong understanding of backend systems, REST APIs, databases, and cloud infrastructure (AWS/GCP) Experience working on developer tools, SaaS platforms, or data-intensive product Familiarity with Agile development methodologies and tools (Jira, Confluence, etc.) Ability to write clear and concise product specifications and acceptance criteria Proficiency in reading and discussing technical documents, including API specs and system architecture diagrams Solid analytical skills and experience using tools like SQL, Excel, and dashboards to analyze product performance Excellent communication and stakeholder management skills Willingness to work closely with engineering teams and occasionally support on-site deployments
Role Overview We are seeking a skilled Full-Stack Developer with a passion for problem-solving, innovation, and high quality software development. As part of our dynamic product engineering team, you will design and develop scalable, reliable, and efficient cloud and edge-based solutions. You will collaborate closely with developers, quality analysts, and operations engineers to deliver robust products and features. Key Responsibility Design, develop, and maintain software components for cloud and edge platforms Write clean, efficient, and scalable code for both frontend and backend systems Collaborate with cross-functional teams to build innovative features and enhance system performance Integrate third-party libraries, APIs, and external services into our ecosystem Design and implement optimized data storage solutions Improve performance and scalability for real-time applications on both cloud and edge devices Develop and maintain unit tests, integration tests, and CI/CD pipelines Debug and resolve technical issues to ensure system reliability and uptime. Required Qualifications Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field, with a CGPA of 8.0 or higher Proficiency in Python, JavaScript, and C++ along with frontend technologies like HTML5 and CSS3 Hands-on experience with React.js and Node.js frameworks Familiarity with Docker, RabbitMQ, and other DevOps tools
Role Overview As an Application Engineer Machine Vision, you will play a key role in delivering cutting-edge vision solutions to our customers. From feasibility studies to deployment and technical support, youll act as the technical backbone of our AI-based inspection systemsbridging customer needs with product capabilities. Key Responsibility Application Feasibility: Evaluate and recommend technical solutions based on customer requirements. Product Demonstration: Conduct on-site and virtual trials, demos, and proof-of-concepts. Technical Troubleshooting: Resolve on-ground issues and provide effective resolutions. System Integration: Work on seamless integration of vision systems with PLCs, controllers, and factory networks. Customer Enablement: Train and support customers and internal sales teams on product usage and best practices. Reporting & Feedback: Submit detailed evaluation reports and share insights with the product and engineering teams. Project Tracking: Maintain accurate logs and updates using internal systems like sales Book. Collaboration: Work closely with cross-functional teams to ensure timely and successful project delivery. Travel: Willingness to travel for short or long duration within India or abroad as needed Key Requirements Experience: 6-8 years of experience in machine vision applications and industrial automation Education: Bachelors degree in Electrical, Electronics, Instrumentation, or Communication Engineering In-depth expertise in machine vision platform Strong knowledge of lighting concepts, lens and camera selection, and system calibration Hands-on experience with PLC integration, industrial communication protocols (Modbus, Ethernet/IP,
Role Overview As a UX/UI Designer at Frinks AI, you will be responsible for designing and improving user experiences for our AI powered SaaS platform, ensuring seamless interaction across mobile and web applications. Working closely with cross-functional teams, you will create high-quality, engaging interfaces using Figma and Adobe XD. Your expertise in user research, wireframing, and prototyping will help craft visually appealing and functionally effective designs for our tech-driven products. Key Responsibility User Experience & Research: Conduct user research, analyze customer feedback, and implement design strategies to enhance usability Mobile & Web Application Design Create modern, responsive, and engaging UI/UX designs for our AI powered applications Prototyping & Wireframing: Develop interactive prototypes and wireframes to demonstrate user flows and design concepts Collaboration: Work closely with developers, product managers, and stakeholders to translate requirements into visually appealing and functional designs Design Consistency: Maintain and enhance design systems to ensure consistency across different digital products Usability Testing: Conduct A/B testing and user testing to validate design decisions and improve product experience Iterative Improvements: Continuously refine designs based on data insights, user behavior, and business goals. Key Requirements Experience: 4+ years of experience as a UX/UI Designer in a tech company. Design Tools: Proficiency in Figma and Adobe XD for designing and prototyping. User-Centered Design: Strong understanding of UX principles, usability heuristics, and design best practices. Mobile & Web Expertise: Experience in designing mobile applications and web platforms with a strong focus on responsiveness. Collaboration & Communication: Ability to work with developers, product managers, and other stakeholders to deliver high-quality designs. Problem-Solving Skills: A proactive mindset with a passion for solving user experience challenges. Portfolio: A strong portfolio showcasing UI/UX work for mobile and web applications.
We are looking for a detail-oriented Image Annotator to join our AI/ML team. In this role, you will be responsible for labeling, tagging, and annotating images to train computer vision and AI models. Your work will directly contribute to building high-quality datasets that power intelligent systems. Key Responsibilities Annotate, label, and tag images using internal/external tools. Ensure accuracy and consistency of annotations across large datasets. Follow detailed annotation guidelines and project requirements. Review and validate data for errors, inconsistencies, or quality issues. Collaborate with data scientists, ML engineers, and QA teams to improve dataset quality. Meet daily/weekly productivity and quality targets. Requirements Education: Bachelors degree (preferred) or equivalent experience. Strong attention to detail and ability to follow complex instructions. Familiarity with image annotation tools (e.g., Labelbox, CVAT, Supervisely, VGG Image Annotator, etc.) is a plus. Basic knowledge of computer vision, AI/ML, or data labeling is desirable. Ability to work with repetitive tasks while maintaining high accuracy. Good communication skills and team collaboration.
About Frinks AI Frinks AI is a SaaS platform that enables manufacturers to seamlessly integrate advanced AI for quality control and visual inspection, ensuring unparalleled quality and consistency in manufacturing. With a focus on addressing unique challenges in the sector, were pioneering research on domain-specific, lean, and efficient AI models that enhance operational efficiency, optimize processes, and drive innovation. Our scalable platform automates production processes with high accuracy, making it a trusted solution for global manufacturers. Role We are looking for full-time AI R&D Engineers with expertise in Deep Learning (DL) or Machine Learning (ML), or entry-level graduates with strong project experience, to join our team. In this role, you will be integral to designing, innovating, and building cutting-edge AI products in the areas of Image and Video Analytics. You will collaborate with the product development team and the Chief Engineer throughout the Product Development Life Cycle. This hands-on role requires attention to detail, independent work capability, and strong problem-solving skills. Additionally, you will work with a small team of engineers to deliver AI-driven solutions to customers. Responsibilities Design, develop, and implement AI solutions for visual inspection and quality control. Break down complex problems, create solutions, and integrate them with existing systems. Lead and manage sub-projects, ensuring delivery on time and within scope. Apply advanced AI techniques (e.g., Active Learning, GANs) to enhance model performance. Collaborate with cross-functional teams to deploy scalable AI models and optimize product quality. Drive continuous improvement in AI algorithms, evaluation methods, and model optimization. Work effectively as a team player while also being able to operate independently. Lead sub-projects and provide technical insights on a daily basis. Communicate clearly with team members, leadership, and all stakeholders. Professional Experience Hands-on experience in image/video processing and data analysis using ML/DL techniques. Proficient in ML/DL frameworks (e.g., Python, TensorFlow, PyTorch, Keras, C++). Experience in implementing state-of-the-art AI techniques, such as Active Learning and GANs. Excellent communication skills, both oral and written. Preferred Experience in computer vision and edge AI. Published research papers or industry-level AI projects. Familiarity with AWS Sagemaker. B.Tech, M.Tech, or Ph.D. in Computer Science, Electrical Engineering, or a related field.