Write and execute various tests for mobile, device, and cloud systems while maintaining automated test suites. Validate AI workflows and user scenarios, and track defects to ensure quality throughout the development process.

We are hiring full-time Automation Engineers to support entrepreneurs and founders across the US and Europe. As an Automation Engineer, you will be the operational backbone behind visionary leaders—leveraging your technical expertise, organizational excellence, and proactive mindset to help them reclaim their time and focus on what truly matters. Your Responsibilities: - Implement and maintain efficient digital operations systems for email, calendar, task, and project management. - Coordinate and optimize daily workflows across productivity tools such as Asana, ClickUp, Notion, or Trello. - Manage and protect the founder’s time through smart scheduling, inbox management, and proactive communication. - Integrate and automate processes using n8n, Zapier, Make (Integromat), or Google Workspace automations to streamline repetitive tasks. - Support data management and documentation, ensuring organized digital filing systems in Google Drive, Dropbox, or SharePoint. - Conduct market, competitor, and operational research, and create data-driven reports and dashboards. - Oversee CRM management (HubSpot, Salesforce, or Pipedrive)—updating pipelines, tracking leads, and ensuring data accuracy. - Assist with digital marketing operations, such as scheduling posts, managing newsletters, and analyzing campaign performance in Meta Business Suite, Mailchimp, and Canva. - Facilitate smooth communication and collaboration using Slack, Zoom, Microsoft Teams, and Calendly. - Support internal knowledge management using tools like Notion, Confluence, or Airtable. - Leverage AI-powered tools (e.g., ChatGPT, Notion AI, Fireflies, Reclaim.ai, or Otter.ai) to improve productivity, summarization, and workflow efficiency. - Regularly evaluate, test, and recommend new technologies to enhance business processes and digital performance. What we look for: - Bachelor’s degree or equivalent professional experience. - Proven experience as a technical, operations, or executive assistant, ideally within a fast-paced, digital-first or startup environment. - Advanced proficiency in: - n8n, make (integromat), Windows Power Automate, Google Workspace, Zapier, - Familiarity with AI and automation tools (ChatGPT, Notion AI, Otter.ai, Reclaim.ai, Fireflies, etc.). - Excellent English communication skills (C2 level)—both written and verbal. - Strong problem-solving ability, analytical mindset, and attention to detail. - Ability to manage multiple priorities with organization, accuracy, and discretion. - High Agency — proactive, self-motivated, and able to anticipate needs before they arise. - Passion for digital operations, workflow design, and continuous process improvement. What we offer: - Performance-based bonuses that can add up to 3 months’ worth of salary - Fully remote, flexible work environment. - Modern laptop and hardware provided by us. - Specialized training in AI, automation, and digital productivity tools. - Global exposure—collaborate with top-tier founders and fast-growing startups. - Continuous learning and career growth opportunities in an international environment.

This role is for one of the Weekday's clients Salary range: Rs 2000000 - Rs 10000000 (ie INR 20 - 100 LPA) Min Experience: 3 years Location: India JobType: full-time We are seeking a skilled AI Engineer with 3–8 years of experience and a strong focus on Large Language Models (LLMs) to design, build, and optimize intelligent systems. This role is ideal for professionals who are passionate about advancing AI capabilities and applying LLMs to solve real-world business problems. You will work closely with cross-functional teams including product, data science, and engineering to develop scalable AI-powered applications.

• Source relevant data from various channels, including databases, online sources, and internal systems, essential for training AI models. • Process raw data to make it suitable for use in machine learning, which includes cleaning, normalizing, and segmenting the data. • Create machine learning models using appropriate algorithms and techniques to solve specific business problems or enhance application capabilities. • Rigorously test AI models to ensure their accuracy, reliability, and robustness, and validate them against predefined metrics. • Seamlessly integrate AI models into existing software applications, employing API calls or embedded code for smooth functionality. • Continuously optimize AI systems for better speed, efficiency, and accuracy, ensuring they meet the required performance standards. • Identify and fix bugs or issues in AI models and their integration into applications, ensuring smooth operation. • Keep abreast of the latest advancements in AI, machine learning, and related technologies to incorporate cutting-edge solutions. • Work alongside other professionals, including AI Engineers, data scientists, software developers, and project managers, to achieve cohesive project goals. • Create detailed documentation for AI systems and their architectures, aiding in maintenance, updates, and knowledge transfer. • Utilize AI to improve the user interface and experience of applications, making them more intuitive and responsive. • Adhere to ethical guidelines and standards in AI development, ensuring fairness, privacy, and transparency. • Conduct in-depth analysis of AI systems' performance, identifying areas for improvement and optimization. • Utilize cloud computing platforms for efficient AI model development, testing, and deployment. • Incorporate user and stakeholder feedback into AI system development to continuously improve its effectiveness and usability. • Serve as a bridge between technical and non-technical teams, facilitating the integration of AI into various business processes and ensuring alignment with business objectives. • Partner with key stakeholders, including the business unit leaders, Product, Data & Technology teams, to assist with their AI-related technical issues. • Contribute to the team of AI professionals by using expertise to answer questions and sharing repeatable design patterns with less experienced teammates, enhancing skillsets and competencies of team members, and sharing technical knowledge throughout the team. • Participate in stakeholder reviews and design sessions. • Provide data, reports, and information to management as needed. • Drive strong communications, partnerships, and stakeholder management with senior leaders, functional managers, and staff. • Perform other duties as assigned.